277834 1 Jan van Rijn 4238 Supervised Classification predictive_accuracy 1194 weka.RandomSubSpace_REPTree(4) 2055 weka.classifiers.meta.RandomSubSpace -- -P 0.5 -S 1 -num-slots 1 -I 80 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 M 2 1077 V 0.001 1077 N 3 1077 S 1 1077 L -1 1077 I 0.0 1077 P 0.5 1194 S 1 1194 num-slots 1 1194 I 80 1194 W weka.classifiers.trees.REPTree 1194 weka weka_3.7.12 398 wap.wc https://www.openml.org/data/download/52510/wap.wc.arff -1 932577 description https://api.openml.org/data/download/932577/weka_generated_run2076611930460309878.xml -1 932580 model_readable https://api.openml.org/data/download/932580/WekaModel_weka.classifiers.meta.RandomSubSpace474135467595182955.model -1 932579 model_serialized https://api.openml.org/data/download/932579/WekaSerialized_weka.classifiers.meta.RandomSubSpace5007601421331521407.model -1 932578 predictions https://api.openml.org/data/download/932578/weka_generated_predictions4376930449715930613.arff area_under_roc_curve 0.969325 [0.823184,1,0.93772,0.932105,0.690849,0.972304,0.997855,0.913195,0.864946,0.888215,0.972479,0.99083,0.922737,0.997547,0.994811,0.999015,0.876171,1,0.953104,0.999755] average_cost 0 f_measure 0.725733 [0,0.987654,0.063768,0.495913,0,0.737566,0.926903,0.200393,0,0,0.622196,0.723005,0.605325,0.872598,0.880388,0.853594,0.015267,0.984,0.639101,0.919631] kappa 0.73135 kb_relative_information_score 9573.109003 mean_absolute_error 0.049454 mean_prior_absolute_error 0.089924 number_of_instances 15600 [150,760,330,540,50,1960,3410,440,180,110,910,400,1680,650,910,970,130,370,1300,350] os_information [Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic] precision 0.749527 [0,0.97561,0.733333,0.938144,0,0.610851,0.872027,0.73913,0,0,0.672194,0.966527,0.601765,0.811921,0.863636,0.749221,1,0.971053,0.668346,0.853301] predictive_accuracy 0.762115 prior_entropy 3.738083 recall 0.762115 [0,1,0.033333,0.337037,0,0.930612,0.98915,0.115909,0,0,0.579121,0.5775,0.608929,0.943077,0.897802,0.991753,0.007692,0.997297,0.612308,0.997143] relative_absolute_error 0.549952 root_mean_prior_squared_error 0.211967 root_mean_squared_error 0.140262 root_relative_squared_error 0.661718 scimark_benchmark 1360.277112 [813.9246558745155, 1010.1992026725918, 543.1167552027886, 1106.0927691431245, 3328.0521768167096] total_cost 0 usercpu_time_millis 1882810 usercpu_time_millis_testing 33330 usercpu_time_millis_training 1849480 area_under_roc_curve 0.972928 [0.948387,1,0.96875,0.911258,0.522581,0.972426,1,0.949669,0.974194,0.974194,0.971233,0.998355,0.933036,0.994247,0.999244,1,0.890323,1,0.942442,1] area_under_roc_curve 0.966037 [0.665584,1,0.904139,0.809272,0.0,0.979639,1,0.850329,0.928571,1,0.982615,0.986842,0.885268,0.997778,0.99863,1,1,1,0.986552,0.996711] area_under_roc_curve 0.962388 [0.545455,1,0.972039,0.868874,0.0,0.990012,1,0.802649,0.538961,0.993548,0.981859,1,0.972768,1,0.996575,1,0.477419,1,0.928456,1] area_under_roc_curve 0.974637 [0.75,1,0.960526,0.94702,0.670968,0.974265,1,0.965461,0.864516,1,0.988662,0.963816,0.921287,0.998889,1,1,0.954839,1,0.978483,1] area_under_roc_curve 0.971077 [0.756494,1,0.995643,0.966887,0.612903,0.979255,0.998071,0.904636,0.993548,0.993548,0.960959,1,0.937791,0.999041,0.996977,1,1,1,0.920925,1] area_under_roc_curve 0.977054 [0.814935,1,0.997821,0.948344,0.0,0.980882,0.999518,0.895364,0.974194,1,0.988662,0.998355,0.938393,0.997124,0.992441,1,0.870968,1,0.947283,1] area_under_roc_curve 0.966585 [0.818182,1,0.981908,0.989404,0.0,0.933456,0.997348,0.886513,0.96129,0.877419,0.986395,0.996711,0.867411,1,1,1,0.883871,1,0.976331,0.998355] area_under_roc_curve 0.977944 [1,1,0.945534,0.974834,0.0,0.972059,0.999518,0.899671,0.756494,0.916129,0.980348,0.995066,0.971223,1,0.998488,1,0.780645,1,0.947283,1] area_under_roc_curve 0.980192 [1,1,0.87146,0.998675,0.0,0.991176,1,0.985197,0.769481,0.496774,0.989726,0.996711,0.941176,0.997124,0.996977,1,0.987097,1,0.975256,1] area_under_roc_curve 0.974343 [0.76129,1,0.936819,0.935556,0.0,0.985401,1,0.921053,0.928571,0.819355,0.97808,0.976974,0.958104,1,0.998488,1,0.88961,1,0.920387,1] area_under_roc_curve 0.970356 [0.787097,1,0.972039,0.988079,0.0,0.976838,0.995986,0.833882,0.909091,1,0.956916,0.996711,0.909821,1,1,1,0.864516,1,0.938139,0.998355] area_under_roc_curve 0.978018 [0.883871,1,0.901961,0.933775,0.948387,0.982721,0.999759,0.932566,0.837662,0.864516,0.984247,1,0.966991,0.995556,0.95616,1,0.916129,1,0.974718,1] area_under_roc_curve 0.963228 [1,1,0.945534,0.972185,0.0,0.959662,0.99783,0.976974,0.977273,0.581169,0.980137,1,0.884469,0.995556,0.995465,1,0.96129,1,0.896181,1] area_under_roc_curve 0.979306 [0.980519,1,0.915033,0.986755,0.0,0.977574,0.999764,0.939145,0.974194,0.993506,0.953137,0.998355,0.92975,0.998082,0.996977,0.99863,0.722581,1,0.986552,1] area_under_roc_curve 0.961745 [0.535484,1,0.934641,0.92053,0.683871,0.966176,0.999036,0.905298,0.814935,0.993548,0.961451,1,0.862886,1,1,0.999315,1,1,0.973104,1] area_under_roc_curve 0.978942 [0.837662,1,0.993464,0.904636,0.0,0.989338,1,0.934211,0.977273,0.929032,0.959184,0.976974,0.955988,1,0.992441,1,0.929032,1,0.959656,1] area_under_roc_curve 0.967488 [0.814935,1,0.884868,0.733775,0.0,0.976103,0.999277,0.933775,0.877419,0.8,0.953137,0.981908,0.934821,1,1,1,1,1,0.983324,1] area_under_roc_curve 0.964159 [0.795455,1,0.793028,0.862252,0.0,0.947426,0.998554,0.858553,0.993548,1,0.958428,0.995066,0.922133,1,0.998488,0.999315,1,1,0.964497,1] area_under_roc_curve 0.976018 [0.916129,1,0.965461,0.904636,0.0,0.983088,0.998554,0.839735,0.974026,0.993548,0.981104,0.988487,0.947524,1,0.999244,0.996575,0.696774,1,0.973642,1] area_under_roc_curve 0.964158 [0.63961,1,0.797386,0.896667,0.0,0.940074,0.998312,0.972039,0.954545,0.8,0.970522,1,0.923402,1,0.992441,1,0.993506,1,0.97418,1] area_under_roc_curve 0.979322 [1,1,0.96732,0.977483,0.0,0.969853,1,0.809211,0.795455,1,0.988662,1,0.962336,1,0.988662,0.995205,0.941558,1,0.982249,1] area_under_roc_curve 0.97257 [1,1,0.909539,0.956291,0.43871,0.975735,0.999518,0.985197,0.967532,0.645161,0.951625,1,0.939061,1,0.998488,1,0.754839,1,0.967187,1] area_under_roc_curve 0.980068 [1,1,0.965142,0.940397,0.0,0.983456,0.996143,0.932566,0.944805,0.993548,0.963719,0.976974,0.937368,0.998889,1,1,0.983766,1,0.97418,1] area_under_roc_curve 0.959653 [0.883871,1,0.969499,0.872848,0.0,0.947059,0.984812,0.75,0.840909,0.76129,0.996221,1,0.939907,0.996165,0.993953,1,1,1,0.909091,1] area_under_roc_curve 0.968545 [0.935484,1,0.877996,0.97351,0.322581,0.969118,0.997107,0.919205,0.905844,1,0.975057,0.998355,0.921287,1,0.996977,0.99863,1,1,0.942442,1] area_under_roc_curve 0.967755 [0.837662,1,0.950658,0.892222,0.0,0.981618,0.999518,0.917763,0.792208,0.683871,0.989418,1,0.909437,0.997124,0.999244,0.998488,0.503226,1,0.981173,1] area_under_roc_curve 0.965351 [0.707792,1,0.943355,0.953642,0.0,0.976181,1,0.892715,0.866883,0.993548,0.972789,0.998355,0.858231,0.998082,1,0.997732,0.83871,1,0.976869,1] area_under_roc_curve 0.975138 [0.555195,1,0.982571,0.943333,0.0,0.981618,0.993973,0.934211,0.929032,1,0.966742,0.990132,0.948794,0.997124,1,1,0.903226,1,0.972028,1] area_under_roc_curve 0.967373 [0.716129,1,0.896382,0.996026,0.0,0.94375,0.996866,0.908609,0.957792,1,0.958428,1,0.90986,1,1,1,0.832258,1,0.959656,1] area_under_roc_curve 0.963634 [0.779221,1,0.932566,0.952318,0.0,0.961765,0.997589,0.935855,0.831169,1,0.950869,0.978618,0.903089,1,1,0.99726,0.974026,1,0.920925,1] area_under_roc_curve 0.969142 [1,1,0.949891,0.938889,0.0,0.968015,0.997348,0.985197,0.941558,0.529032,0.985639,0.807566,0.925942,1,0.99863,1,0.909091,1,0.956428,1] area_under_roc_curve 0.968695 [0.658065,1,0.955592,0.965556,0.929032,0.956985,1,0.911184,0.811688,0.825806,0.973545,1,0.896318,1,1,0.99093,1,1,0.981711,1] area_under_roc_curve 0.962107 [0.580645,1,0.943355,0.960265,0.0,0.984559,0.999036,0.876645,0.909091,1,0.954649,0.949013,0.910284,1,1,0.993151,0.451299,1,0.939215,0.996711] area_under_roc_curve 0.972115 [0.787097,1,0.917211,0.855629,0.0,0.991912,1,0.942434,0.87013,1,0.966742,0.995066,0.914515,0.994247,0.998488,1,0.96129,1,0.949973,1] area_under_roc_curve 0.971661 [0.832258,1,1,0.943046,0.0,0.965441,1,0.955592,0.717532,0.516129,0.975057,0.924342,0.942869,1,1,1,1,1,0.957504,1] area_under_roc_curve 0.984052 [1,1,0.962171,0.968889,0.0,0.980023,1,0.950658,0.928571,1,0.984883,0.888158,0.967837,1,0.999244,1,0.993548,1,0.977945,1] area_under_roc_curve 0.96971 [0.928571,1,0.980392,0.952318,0.0,0.993085,0.992044,0.85298,0.717532,0.716129,0.97808,1,0.925942,0.99233,0.996977,1,1,1,0.941366,1] area_under_roc_curve 0.964447 [0.782468,1,0.884868,0.87,0.0,0.952941,0.996625,0.998675,0.925325,0.883871,0.976568,1,0.903936,0.998889,0.972789,0.998488,1,1,0.966649,1] area_under_roc_curve 0.966667 [0.717532,1,0.962171,0.966887,0.0,0.967647,0.998554,0.880795,0.857143,0.935484,0.959184,1,0.910284,0.998889,0.997732,0.996575,0.725806,1,0.965573,1] area_under_roc_curve 0.968807 [0.993506,1,0.957237,0.923179,0.0,0.984559,0.989151,0.976974,0.87013,1,0.967498,0.998355,0.867118,0.998889,0.997945,0.99726,0.980645,1,0.951049,1] area_under_roc_curve 0.980243 [0.806452,1,0.980392,0.887778,0.0,0.975,0.997589,0.952303,0.915584,0.980645,0.986395,1,0.964875,0.997778,1,0.997732,0.964286,1,0.97149,1] area_under_roc_curve 0.975054 [0.987097,1,0.927632,0.983333,0.916129,0.977941,0.994455,0.944371,0.863636,1,0.980348,1,0.913246,1,0.998488,1,1,1,0.956966,1] area_under_roc_curve 0.982856 [0.645161,1,0.989107,0.984444,0.0,0.988235,0.999518,0.955592,0.915584,1,0.991686,0.998355,0.956411,0.995556,0.998488,1,0.944805,1,0.952125,1] area_under_roc_curve 0.971988 [0.651613,1,0.997821,0.988889,0.0,0.970419,0.999759,0.973684,0.730519,1,0.966742,1,0.903936,0.997124,0.98715,1,0.516129,1,0.986014,1] area_under_roc_curve 0.976351 [0.63871,1,0.949013,0.967778,0.0,0.994118,0.996866,0.837171,0.86039,1,0.981859,1,0.949217,1,1,1,0.929032,1,0.947821,1] area_under_roc_curve 0.972123 [0.851613,1,0.925987,0.94,0.909677,0.977334,0.997107,0.9375,0.74026,0.909677,0.992466,0.996711,0.938214,0.996667,0.993197,1,0.993506,1,0.935987,1] area_under_roc_curve 0.973227 [0.863636,1,0.960784,0.961589,0.0,0.984249,0.999036,0.921854,0.905844,0.96129,0.956916,0.975329,0.895472,0.999041,0.999244,1,0.96129,1,0.974718,1] area_under_roc_curve 0.975182 [0.970779,1,0.944079,0.975556,0.0,0.972059,0.999518,0.969536,0.766234,0.593548,0.982615,1,0.924249,1,0.996221,1,0.993548,1,0.972566,1] area_under_roc_curve 0.975725 [0.951299,1,0.947712,0.994702,0.0,0.985662,0.992768,0.908609,0.754839,0.915584,0.976568,1,0.927634,0.998889,0.998488,1,0.806452,1,0.965573,1] area_under_roc_curve 0.967444 [0.850649,1,0.833882,0.982781,0.0,0.966912,1,0.930921,0.883871,0.857143,0.956916,1,0.899281,0.996667,0.972789,0.999315,0.954839,1,0.979021,1] area_under_roc_curve 0.974114 [1,1,0.969499,0.947778,0.0,0.984191,0.999518,0.988487,0.847403,1,0.973545,1,0.861617,1,0.981104,1,1,1,0.985476,1] area_under_roc_curve 0.961382 [0.4,1,0.989107,0.884444,0.9,0.960662,0.997589,0.97351,0.655844,1,0.983371,1,0.903512,1,0.990174,1,0.780645,1,0.937601,1] area_under_roc_curve 0.967595 [0.922581,1,0.901961,0.917778,0.632258,0.965441,1,0.983553,0.987013,1,0.950869,1,0.866695,1,0.995465,1,0.877419,1,0.98709,1] area_under_roc_curve 0.973744 [1,1,0.947712,0.92,0.0,0.983096,1,0.949013,0.883117,0.6,0.986301,0.996711,0.941176,0.997124,0.960695,1,1,1,0.94029,1] area_under_roc_curve 0.979449 [0.890323,1,0.939145,0.95,0.0,0.986765,1,0.929276,0.665584,1,0.971277,1,0.962759,1,0.99093,0.997945,1,1,0.973642,1] area_under_roc_curve 0.971548 [0.896774,1,0.891068,0.916667,0.916129,0.92816,1,0.873355,0.925325,1,0.969766,1,0.938637,0.995556,0.998488,0.99863,0.996753,1,0.997848,1] area_under_roc_curve 0.96637 [0.4,1,0.989107,0.957778,0.541935,0.963888,0.999764,0.921053,0.863636,0.935484,0.972789,0.996711,0.947524,0.997778,0.998488,1,1,1,0.894029,1] area_under_roc_curve 0.966602 [0.63871,1,0.972039,0.971111,0.709677,0.987868,0.999759,0.901987,0.762987,1,0.951625,1,0.878121,1,0.997732,1,0.574194,1,0.991931,1] area_under_roc_curve 0.961015 [0.685065,1,0.956427,0.977483,0.825806,0.932353,0.994214,0.958882,0.864516,0.593548,0.987906,1,0.922133,0.996667,0.99863,0.99863,0.554839,1,0.934373,1] area_under_roc_curve 0.966859 [0.441558,1,0.971678,0.94702,0.903226,0.973529,0.999518,0.879934,0.903226,1,0.973545,1,0.926365,0.997124,1,1,0.851613,1,0.936525,1] area_under_roc_curve 0.960133 [0.850649,1,0.843137,0.936667,0.774194,0.96773,0.999518,0.861842,0.698052,0.896774,0.960695,1,0.905628,0.995556,0.996977,1,0.819355,1,0.941366,1] area_under_roc_curve 0.95886 [0.905844,1,0.873638,0.948889,0.0,0.993015,0.993009,0.839735,0.96129,0.606452,0.980348,1,0.889547,0.995206,1,0.99726,0.720779,1,0.903174,1] area_under_roc_curve 0.974725 [0.912338,1,0.993464,0.918889,0.787097,0.973162,0.998554,0.942434,0.922581,0.877419,0.973545,0.998355,0.906052,0.999041,0.996977,1,0.948387,1,0.991931,1] area_under_roc_curve 0.971879 [0.696774,1,1,0.938889,0.922581,0.974645,0.999277,0.976159,0.675325,0.993548,0.976568,1,0.924249,1,0.998488,0.999315,1,1,0.935449,1] area_under_roc_curve 0.975069 [0.970779,1,0.893246,0.848889,0.0,0.975,1,0.902961,0.883117,0.873377,0.993953,0.995066,0.957589,0.997778,1,1,0.929032,1,0.969876,1] area_under_roc_curve 0.962038 [0.645161,1,0.87146,0.915232,0.748387,0.969266,0.993973,0.970395,0.941558,1,0.983371,1,0.87008,0.997778,0.982192,0.997945,0.886364,1,0.948359,0.995643] area_under_roc_curve 0.974436 [0.890323,1,0.851852,0.987778,0.574194,0.984191,0.994214,0.917763,0.948052,1,0.980348,0.993421,0.962759,0.993333,0.999244,1,0.961039,1,0.920925,1] area_under_roc_curve 0.962785 [0.929032,1,0.938998,0.92053,0.851613,0.980407,0.996866,0.93245,0.974026,0.548387,0.984932,0.998355,0.92171,0.995556,0.997732,0.999315,0.683442,1,0.883808,1] area_under_roc_curve 0.964424 [0.665584,1,0.906318,0.867778,0.658065,0.979255,0.997107,0.911184,0.788961,0.922581,0.954649,1,0.905804,1,1,0.999244,1,1,0.985476,0.998355] area_under_roc_curve 0.973369 [1,1,0.947712,1,0.529032,0.954779,0.994937,0.886093,0.863636,0.709677,0.961451,0.998355,0.961913,0.994247,0.998488,1,0.967742,1,0.982786,0.998355] area_under_roc_curve 0.960667 [0.775974,1,0.891068,0.919205,0.4,0.978486,0.993491,0.899338,0.918831,0.806452,0.969766,0.988487,0.873466,0.988495,0.998488,1,0.96129,1,0.979559,1] area_under_roc_curve 0.973341 [1,1,0.91939,0.969536,0.0,0.952363,0.998554,0.95894,0.967742,1,0.962963,0.993421,0.925942,0.994247,0.997732,0.999315,0.944805,1,0.94029,1] area_under_roc_curve 0.976737 [0.88961,1,0.912854,0.946667,0.832258,0.977941,0.999518,0.919205,0.909677,1,0.995465,1,0.926788,0.998082,0.998488,1,0.870968,1,0.979559,1] area_under_roc_curve 0.963104 [0.75,1,0.934641,0.901111,0.716129,0.982328,0.995661,0.892715,0.922078,0.806452,0.963719,0.998355,0.895895,1,0.995465,0.995465,0.86039,1,0.973104,1] area_under_roc_curve 0.976032 [0.876623,1,0.943355,0.971111,0.0,0.971187,0.997403,0.96875,0.961039,0.877419,0.989418,1,0.957589,0.994444,0.992441,0.99863,0.743506,1,0.939753,1] area_under_roc_curve 0.970136 [1,1,0.91939,0.980132,0.774194,0.968015,0.99783,0.870199,0.899351,0.76129,0.962207,1,0.929327,1,1,0.99726,1,1,0.944594,1] area_under_roc_curve 0.972529 [1,1,0.978214,0.962222,0.851613,0.978676,0.99783,0.983553,0.840909,1,0.96901,0.998355,0.937368,0.995556,1,1,0.931818,1,0.88865,1] area_under_roc_curve 0.96901 [1,1,0.930283,0.952318,0.729032,0.981176,0.999292,0.776316,0.967532,0.916129,0.965231,1,0.911607,1,0.992441,1,0.951299,1,0.938677,1] area_under_roc_curve 0.953887 [0.987013,1,0.986928,0.788889,0.858065,0.97695,0.998795,0.967105,0.818182,1,0.991686,0.996711,0.764732,0.999041,0.996221,1,0.951299,1,0.941904,1] area_under_roc_curve 0.969059 [1,1,0.958606,0.957616,0.477419,0.97234,0.999055,0.960265,0.909091,0.845161,0.996977,0.995066,0.944562,0.997124,0.996221,0.996977,0.658065,1,0.887574,1] area_under_roc_curve 0.9673 [0.74026,1,0.976035,0.941722,0.864516,0.955436,0.992285,0.858278,0.896104,0.845161,0.98715,0.995066,0.983919,0.987536,0.994709,1,0.445161,1,0.938139,1] area_under_roc_curve 0.96891 [0.86039,1,0.958606,0.916556,0.0,0.989627,0.997589,0.871711,0.847403,0.980645,0.986395,0.949013,0.926788,1,0.996221,1,0.863636,1,0.920387,1] area_under_roc_curve 0.963637 [0.987013,1,0.957237,0.818543,0.496774,0.976181,0.996384,0.895364,0.795455,0.909677,0.984127,1,0.930174,0.991371,0.999244,1,1,1,0.917698,1] area_under_roc_curve 0.96466 [0.798701,1,0.879934,0.966887,0.432258,0.978676,0.996384,0.939073,0.814935,0.76129,0.93802,1,0.958036,0.992222,0.999244,0.997732,0.75974,1,0.949973,1] area_under_roc_curve 0.961361 [0.983766,1,0.862745,0.980132,0.883871,0.951594,0.997107,0.847039,0.977273,0.729032,0.969766,1,0.878967,0.99233,0.994709,0.994709,0.811688,1,0.956428,1] area_under_roc_curve 0.974104 [0.832258,1,0.891068,1,0.583871,0.991544,0.997348,0.965563,0.902597,0.896774,0.975057,1,0.908168,0.995556,1,0.999315,1,1,0.955352,1] area_under_roc_curve 0.975728 [0.858065,1,0.960784,0.912222,0.825806,0.967647,0.999518,0.894737,0.925325,0.935065,0.975057,0.991776,0.975878,1,0.980348,1,0.696774,1,0.975793,1] area_under_roc_curve 0.975644 [0.819355,1,0.965142,0.978808,0.941935,0.966577,0.996143,0.898026,0.675325,1,0.987906,1,0.926339,0.999041,1,0.994521,0.931818,1,0.99731,0.998355] area_under_roc_curve 0.959424 [1,1,0.932462,0.907778,0.522581,0.971187,0.998554,0.922697,0.915584,1,0.962207,0.972039,0.952603,0.991371,0.997732,1,0.805195,1,0.823561,1] area_under_roc_curve 0.968143 [1,1,0.941176,0.957778,0.929032,0.983865,0.998554,0.866225,0.733766,1,0.99589,0.996711,0.877679,1,0.998488,1,0.483871,1,0.97149,1] area_under_roc_curve 0.969506 [0.75974,1,0.942434,0.827815,0.929032,0.970035,0.999036,0.886093,0.825806,1,0.969766,1,0.967837,1,0.998488,0.995205,1,1,0.931684,1] area_under_roc_curve 0.969036 [0.801948,1,0.956427,0.954967,0.0,0.960814,0.998795,0.819079,0.876623,0.821429,0.944822,0.96875,0.958929,0.989453,0.998488,0.99726,0.980645,1,0.957504,1] area_under_roc_curve 0.96881 [0.935065,1,0.973684,0.93245,0.632258,0.93277,0.995514,0.883444,0.88961,0.780645,0.944067,0.998355,0.976786,0.996165,0.972033,1,1,1,0.976331,1] area_under_roc_curve 0.963662 [0.977273,1,0.922697,0.908609,0.806452,0.98125,0.999277,0.82649,0.941558,0.851613,0.954649,1,0.895982,1,0.999244,1,0.883117,1,0.937063,1] area_under_roc_curve 0.961368 [0.883117,1,0.960784,0.87947,0.845161,0.961199,0.995902,0.875497,0.987097,0.877419,0.966742,1,0.901397,0.996165,0.975813,0.998488,0.775974,1,0.953739,1] area_under_roc_curve 0.966501 [0.519481,1,0.978214,0.919205,0.0,0.975,0.995661,0.898013,0.909677,0.996753,0.95616,1,0.913839,1,1,1,0.819355,1,0.954814,1] area_under_roc_curve 0.982023 [0.941935,1,0.934211,0.984106,0.819355,0.989338,0.998312,0.967105,0.967532,0.993548,0.991781,1,0.942446,1,0.998488,0.999315,0.632258,1,0.976869,1] area_under_roc_curve 0.96823 [0.929032,1,0.978214,0.965563,0.477419,0.944679,0.998312,0.942434,0.951299,0.883117,0.96901,0.998355,0.930597,1,1,1,0.877419,1,0.933297,1] area_under_roc_curve 0.974371 [0.916129,1,0.965142,0.952222,0.554839,0.97426,0.999528,0.850329,0.844156,1,0.956916,0.998355,0.971646,0.995206,0.959184,1,1,1,0.970414,1] area_under_roc_curve 0.976514 [0.670968,1,0.993464,0.837778,0.845161,0.992701,1,0.988079,0.87987,1,0.935752,0.986842,0.953125,0.990412,0.999244,1,1,1,0.977407,1] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.720172 [0,1,0,0.75,0,0.75,0.971429,0,0,0,0.266667,0.857143,0.666667,0.8,0.823529,0.909091,0,1,0.592593,1] f_measure 0.697344 [0,1,0,0,0,0.708333,0.897436,0.4,0,0,0.588235,0,0.6,0.923077,0.857143,0.909091,0,1,0.666667,0.888889] f_measure 0.718993 [0,1,0,0,0,0.76,0.894737,0,0,0,0.533333,1,0.6875,1,0.909091,0.909091,0,1,0.64,1] f_measure 0.764287 [0,1,0,0.571429,0,0.782609,0.957746,0.571429,0,0,0.875,0.4,0.634146,0.833333,1,0.8,0,1,0.695652,0.857143] f_measure 0.692095 [0,1,0,0,0,0.716981,0.957746,0,0,0,0.555556,0.857143,0.705882,0.777778,0.823529,0.75,0,1,0.47619,1] f_measure 0.758257 [0,1,0,0.75,0,0.769231,0.971429,0,0,0,0.666667,0.666667,0.705882,0.823529,0.777778,0.952381,0,1,0.64,0.888889] f_measure 0.71218 [0,0.941176,0,0.571429,0,0.708333,0.931507,0.4,0,0,0.625,0.666667,0.461538,1,0.8,0.869565,0,1,0.592593,0.8] f_measure 0.713706 [0,1,0,0.75,0,0.703704,0.918919,0,0,0,0.666667,0.666667,0.588235,1,0.714286,0.869565,0,1,0.56,0.8] f_measure 0.768793 [0,1,0,0.571429,0,0.826087,0.944444,0,0,0,0.736842,0.857143,0.615385,0.923077,0.823529,0.869565,0,1,0.785714,0.8] f_measure 0.730006 [0,1,0,0.666667,0,0.730769,0.944444,0,0,0,0.727273,0.666667,0.62069,0.923077,0.941176,0.869565,0,1,0.416667,1] f_measure 0.699005 [0,1,0,0.333333,0,0.72,0.906667,0,0,0,0.705882,0.4,0.533333,1,0.857143,0.8,0,0.857143,0.636364,0.8] f_measure 0.755287 [0,1,0,0.5,0,0.784314,0.931507,0.333333,0,0,0.818182,0.4,0.685714,0.666667,0.875,1,0,1,0.64,1] f_measure 0.696171 [0,0.941176,0,0.333333,0,0.666667,0.971429,0.4,0,0,0.736842,0.857143,0.484848,0.857143,0.888889,0.740741,0,1,0.347826,1] f_measure 0.757665 [0,1,0,0.333333,0,0.714286,0.958904,0.4,0,0,0.588235,0.857143,0.709677,0.923077,0.941176,0.869565,0,1,0.666667,1] f_measure 0.747715 [0,1,0,0.75,0,0.714286,0.944444,0.571429,0,0,0.705882,0.666667,0.516129,1,0.941176,0.952381,0,1,0.56,0.857143] f_measure 0.757805 [0,1,0.5,0.571429,0,0.77551,0.918919,0.666667,0,0,0.4,0.4,0.6875,1,0.761905,0.869565,0,1,0.769231,1] f_measure 0.735125 [0,1,0,0.75,0,0.701754,0.944444,0,0,0,0.5,0.4,0.6875,1,0.9,1,0,1,0.583333,1] f_measure 0.722268 [0,1,0,0.571429,0,0.72,0.957746,0,0,0,0.555556,0.4,0.580645,1,0.941176,0.909091,0,0.888889,0.516129,0.888889] f_measure 0.724157 [0,0.941176,0,0,0,0.754717,0.944444,0,0,0,0.666667,0.857143,0.625,1,1,0.869565,0,1,0.608696,0.857143] f_measure 0.712058 [0,1,0,0.285714,0,0.690909,0.957746,0,0,0,0.533333,0.666667,0.648649,0.923077,0.666667,0.909091,0,1,0.758621,1] f_measure 0.710973 [0,1,0,0.571429,0,0.666667,0.906667,0,0,0,0.571429,1,0.62069,1,0.8,0.8,0,1,0.615385,1] f_measure 0.751215 [0,1,0,0.75,0,0.745098,0.931507,0.4,0,0,0.5,1,0.529412,0.909091,0.941176,1,0,1,0.714286,0.888889] f_measure 0.734013 [0,1,0,0.5,0,0.769231,0.929577,0,0,0,0.666667,0.4,0.6875,0.833333,0.947368,0.909091,0,0.888889,0.615385,0.888889] f_measure 0.742911 [0,1,0,0.75,0,0.734694,0.831169,0,0,0,0.714286,0.857143,0.733333,0.933333,0.888889,0.833333,0,1,0.615385,1] f_measure 0.70499 [0,1,0,0.333333,0,0.690909,0.906667,0.333333,0,0,0.571429,0.666667,0.588235,0.933333,0.823529,0.909091,0,1,0.583333,0.857143] f_measure 0.730922 [0,1,0,0.285714,0,0.745098,0.931507,0,0,0,0.823529,0.857143,0.611111,0.857143,0.9,0.818182,0,1,0.695652,1] f_measure 0.70661 [0,1,0,0.333333,0,0.734694,0.918919,0.571429,0,0,0.375,0.666667,0.484848,0.823529,1,0.761905,0,1,0.695652,0.888889] f_measure 0.740048 [0,1,0,0.5,0,0.77551,0.916667,0,0,0,0.555556,0.666667,0.594595,0.8,0.947368,0.869565,0,1,0.782609,1] f_measure 0.723102 [0,1,0,0.75,0,0.692308,0.891892,0.285714,0,0,0.588235,0.666667,0.466667,0.923077,1,0.909091,0,1,0.72,0.857143] f_measure 0.673608 [0,1,0,0.571429,0,0.754717,0.860759,0,0,0,0.533333,0.4,0.6,1,0.941176,0.8,0,0.857143,0.434783,0.857143] f_measure 0.726516 [0,1,0,0.666667,0,0.745098,0.90411,0.4,0,0,0.666667,0.4,0.5625,0.857143,0.952381,0.782609,0,1,0.666667,0.888889] f_measure 0.716917 [0,0.933333,0,0.5,0,0.666667,0.944444,0,0,0,0.714286,0.857143,0.466667,0.923077,0.9,0.782609,0,1,0.833333,0.888889] f_measure 0.661874 [0,1,0,0,0,0.734694,0.931507,0,0,0,0.47619,0.4,0.578947,0.8,1,0.782609,0,1,0.333333,0.8] f_measure 0.752592 [0,1,0,0.571429,0,0.826087,0.931507,0.333333,0,0,0.571429,0.666667,0.5625,0.875,0.888889,0.952381,0,1,0.615385,1] f_measure 0.746997 [0,0.941176,0,0.75,0,0.77551,0.971429,0,0,0,0.588235,0.571429,0.648649,0.8,1,0.952381,0,1,0.521739,1] f_measure 0.774087 [0,1,0.4,0.5,0,0.765957,0.945946,0.4,0,0,0.8,0.857143,0.742857,0.875,0.941176,0.782609,0,1,0.615385,1] f_measure 0.734636 [0,1,0,0.333333,0,0.730769,0.914286,0,0,0,0.823529,1,0.722222,0.714286,0.888889,0.818182,0,1,0.608696,1] f_measure 0.640845 [0,0.933333,0,0.5,0,0.612245,0.90411,0,0,0,0.555556,0.666667,0.486486,0.857143,0.842105,0.75,0,1,0.421053,0.857143] f_measure 0.723584 [0,1,0,0.5,0,0.72,0.906667,0.571429,0,0,0.555556,0.857143,0.625,0.857143,0.888889,0.782609,0,1,0.636364,1] f_measure 0.713247 [0,1,0.4,0.75,0,0.816327,0.876712,0,0,0,0.470588,0.857143,0.473684,0.8,0.842105,0.857143,0,1,0.636364,1] f_measure 0.770105 [0,1,0,0.5,0,0.782609,0.929577,0.4,0,0,0.666667,0.857143,0.75,0.833333,1,0.9,0,1,0.615385,1] f_measure 0.685335 [0,0.933333,0,0.666667,0,0.716981,0.891892,0.333333,0,0,0.5,0.4,0.5625,0.923077,0.875,0.769231,0,1,0.56,1] f_measure 0.751656 [0,1,0,0.8,0,0.8,0.944444,0,0,0,0.75,0.857143,0.551724,0.857143,0.875,0.909091,0,0.888889,0.625,1] f_measure 0.715149 [0,0.941176,0,0.8,0,0.692308,0.957746,0.333333,0,0,0.470588,0.666667,0.529412,0.857143,0.777778,0.909091,0,1,0.47619,1] f_measure 0.779602 [0,1,0,0.666667,0,0.869565,0.883117,0,0,0,0.666667,0.857143,0.787879,0.857143,0.947368,0.952381,0,0.888889,0.740741,1] f_measure 0.703129 [0,1,0,0.285714,0,0.703704,0.942857,0.4,0,0,0.777778,0.888889,0.594595,0.857143,0.705882,0.9,0,1,0.454545,1] f_measure 0.704277 [0,1,0,0,0,0.75,0.906667,0.333333,0,0,0.444444,0.666667,0.571429,0.933333,0.947368,0.9,0,1,0.583333,1] f_measure 0.761681 [0,1,0.4,0.666667,0,0.75,0.918919,0.571429,0,0,0.533333,0.857143,0.705882,0.8,0.9,0.818182,0,1,0.740741,1] f_measure 0.764543 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[0,1,0,0.222222,0,0.608696,0.894737,0.4,0,0,0.705882,0.4,0.606061,0.923077,0.842105,0.833333,0,1,0.8,1] f_measure 0.709582 [0,1,0,0.6,0,0.734694,0.972222,0,0,0,0.666667,0.75,0.571429,0.923077,0.888889,0.833333,0,1,0.347826,1] f_measure 0.707636 [0,0.933333,0,0.285714,0,0.791667,0.944444,0.333333,0,0,0.625,0.4,0.5,0.923077,0.823529,0.782609,0,1,0.787879,0.857143] f_measure 0.702481 [0,1,0,0.571429,0,0.603774,0.90411,0,0,0,0.666667,0.857143,0.6875,0.75,0.9,0.909091,0,1,0.434783,0.888889] f_measure 0.727733 [0,1,0,0.333333,0,0.765957,0.956522,0,0,0,0.588235,1,0.648649,0.875,0.947368,0.769231,0,1,0.521739,0.857143] f_measure 0.71924 [0,0.941176,0,0.5,0,0.666667,0.985507,0,0,0,0.705882,0.8,0.514286,0.857143,0.857143,1,0,0.857143,0.666667,0.75] f_measure 0.695687 [0,1,0,0.444444,0,0.769231,0.90411,0,0,0,0.533333,0.857143,0.470588,0.857143,0.941176,0.833333,0,1,0.592593,1] f_measure 0.735229 [0,1,0,0.5,0,0.8,0.944444,0.4,0,0,0.533333,0.666667,0.486486,0.933333,0.857143,0.8,0,1,0.769231,1] f_measure 0.737226 [0,1,0,0.8,0,0.68,0.931507,0,0,0,0.631579,0.857143,0.62069,0.923077,0.9,0.909091,0,1,0.666667,0.888889] f_measure 0.716367 [0,1,0,0.285714,0,0.76,0.931507,0,0,0,0.75,0.4,0.578947,0.727273,0.9,0.909091,0,1,0.692308,1] f_measure 0.674783 [0,0.941176,0,0.571429,0,0.73913,0.894737,0,0,0,0.6,0.666667,0.375,0.769231,0.9,0.869565,0,1,0.545455,0.857143] f_measure 0.724857 [0,0.933333,0,0,0,0.869565,0.88,0,0,0,0.705882,0.666667,0.756757,0.714286,0.888889,0.833333,0,0.888889,0.782609,1] f_measure 0.725395 [0,1,0.5,0.5,0,0.72,0.931507,0,0,0,0.666667,0.857143,0.625,0.8,0.947368,0.952381,0,1,0.48,1] f_measure 0.6769 [0,1,0,0.5,0,0.77551,0.90411,0,0,0,0.153846,0.4,0.5,1,0.947368,0.75,0,0.888889,0.75,0.888889] f_measure 0.725108 [0,0.933333,0,0.888889,0,0.761905,0.88,0.333333,0,0,0.533333,0.4,0.647059,0.857143,0.857143,0.857143,0,1,0.714286,0.8] f_measure 0.666109 [0,1,0,0,0,0.745098,0.891892,0.333333,0,0,0.571429,0.333333,0.428571,0.666667,0.842105,0.909091,0,1,0.666667,1] f_measure 0.726902 [0,1,0,0.571429,0,0.72,0.957746,0.333333,0,0,0.75,0.4,0.606061,0.875,0.888889,0.8,0,1,0.56,0.857143] f_measure 0.757821 [0,1,0,0.8,0,0.77551,0.918919,0,0,0,0.8,0.666667,0.631579,0.875,0.823529,0.947368,0,1,0.769231,1] f_measure 0.701257 [0,1,0,0.25,0,0.745098,0.916667,0,0,0,0.736842,0.666667,0.647059,0.857143,0.777778,0.8,0,1,0.72,0.857143] f_measure 0.711586 [0,1,0.5,0.285714,0,0.692308,0.906667,0,0,0,0.714286,0.666667,0.580645,0.833333,0.736842,0.833333,0,1,0.769231,0.888889] f_measure 0.745548 [0,1,0,0.333333,0,0.791667,0.944444,0,0,0,0.666667,0.857143,0.714286,0.923077,0.9,0.857143,0,1,0.608696,1] f_measure 0.716881 [0,1,0.5,0.5,0,0.8,0.918919,0,0,0,0.588235,0.4,0.628571,0.8,1,0.8,0,0.888889,0.583333,0.857143] f_measure 0.708288 [0,1,0,0.333333,0,0.730769,0.933333,0.4,0,0,0.428571,0.857143,0.5625,0.857143,0.777778,0.833333,0,1,0.608696,1] f_measure 0.690995 [0,1,0,0.5,0,0.782609,0.918919,0.4,0,0,0.533333,0.666667,0.206897,0.933333,0.9,0.857143,0.666667,1,0.62069,0.888889] f_measure 0.696343 [0,0.933333,0,0.333333,0,0.723404,0.972222,0,0,0,0.615385,0.4,0.540541,0.875,0.9,0.818182,0,1,0.518519,1] f_measure 0.74789 [0,1,0,0.571429,0,0.723404,0.929577,0.333333,0,0,0.666667,0.857143,0.789474,0.777778,0.823529,0.909091,0,1,0.615385,1] f_measure 0.75637 [0,1,0.5,0.571429,0,0.837209,0.944444,0,0,0,0.736842,0.857143,0.666667,0.875,0.9,0.8,0,1,0.571429,0.857143] f_measure 0.733387 [0,1,0,0.571429,0,0.730769,0.929577,0,0,0,0.777778,0.857143,0.611111,0.857143,0.9,0.9,0,1,0.695652,1] f_measure 0.679151 [0,0.933333,0,0,0,0.678571,0.956522,0,0,0,0.615385,1,0.611111,0.625,0.888889,0.9,0,1,0.583333,0.857143] f_measure 0.698443 [0,1,0,0.571429,0,0.666667,0.929577,0,0,0,0.7,0.857143,0.5,0.857143,0.777778,0.782609,0,1,0.692308,0.888889] f_measure 0.766226 [0,1,0,1,0,0.816327,0.956522,0,0,0,0.5,0.857143,0.666667,0.909091,1,0.909091,0,1,0.64,0.888889] f_measure 0.759494 [0,1,0.5,0.666667,0,0.679245,0.957746,0.4,0,0,0.631579,0.857143,0.645161,0.909091,0.705882,0.833333,0,1,0.88,0.857143] f_measure 0.738288 [0,1,0,0.333333,0,0.731707,0.891892,0,0,0,0.777778,0.666667,0.588235,0.933333,0.952381,0.952381,0,1,0.774194,0.888889] f_measure 0.701702 [0,1,0,0.25,0,0.782609,0.944444,0.4,0,0,0.625,0.4,0.634146,0.705882,0.777778,0.9,0,1,0.521739,0.888889] f_measure 0.716599 [0,1,0,0,0,0.765957,0.906667,0.333333,0,0,0.823529,0.857143,0.484848,1,0.857143,0.818182,0,1,0.695652,0.8] f_measure 0.7033 [0,1,0,0,0,0.744186,0.906667,0,0,0,0.5,0.857143,0.7,1,0.9,0.75,0,1,0.64,1] f_measure 0.672988 [0,1,0,0,0,0.755556,0.918919,0,0,0,0.166667,0.857143,0.648649,0.705882,0.823529,0.740741,0,1,0.64,1] f_measure 0.694553 [0,0.941176,0,0.333333,0,0.679245,0.931507,0,0,0,0.5,0.666667,0.75,0.857143,0.823529,0.818182,0,1,0.592593,1] f_measure 0.681199 [0,1,0.4,0,0,0.745098,0.944444,0,0,0,0.5,0.857143,0.470588,0.909091,0.9,0.75,0,1,0.64,0.857143] f_measure 0.708991 [0,1,0.5,0.571429,0,0.693878,0.891892,0,0,0,0.705882,1,0.457143,0.8,0.888889,0.9,0,1,0.608696,1] f_measure 0.730644 [0,0.941176,0,0.333333,0,0.745098,0.916667,0.333333,0,0,0.6,0.857143,0.538462,0.875,0.941176,0.952381,0,1,0.714286,0.8] f_measure 0.781334 [0,1,0,0.666667,0,0.844444,0.90411,0.4,0,0,0.888889,0.571429,0.666667,1,0.947368,0.909091,0,1,0.740741,0.857143] f_measure 0.731972 [0,1,0,0.5,0,0.653061,0.929577,0.4,0,0,0.588235,0.666667,0.666667,0.933333,1,0.833333,0,1,0.608696,1] f_measure 0.719948 [0,0.933333,0,0.285714,0,0.652174,0.958904,0.4,0,0,0.625,0.75,0.857143,0.8,0.736842,0.833333,0,1,0.5,0.75] f_measure 0.755025 [0,1,0,0.285714,0,0.844444,0.944444,0.571429,0,0,0.375,0.666667,0.722222,0.8,0.947368,0.833333,0,1,0.769231,1] kappa 0.725479 kappa 0.716046 kappa 0.745644 kappa 0.76846 kappa 0.71087 kappa 0.768782 kappa 0.71819 kappa 0.716403 kappa 0.775206 kappa 0.739843 kappa 0.709808 kappa 0.760614 kappa 0.697297 kappa 0.759966 kappa 0.746247 kappa 0.760836 kappa 0.745881 kappa 0.725123 kappa 0.746424 kappa 0.723817 kappa 0.716086 kappa 0.753589 kappa 0.7468 kappa 0.745561 kappa 0.708711 kappa 0.746141 kappa 0.710562 kappa 0.746377 kappa 0.724523 kappa 0.686205 kappa 0.73212 kappa 0.725148 kappa 0.681145 kappa 0.75424 kappa 0.754422 kappa 0.775519 kappa 0.747175 kappa 0.645356 kappa 0.72442 kappa 0.709997 kappa 0.775872 kappa 0.687651 kappa 0.761424 kappa 0.711004 kappa 0.796601 kappa 0.710937 kappa 0.717115 kappa 0.760925 kappa 0.768525 kappa 0.725759 kappa 0.710037 kappa 0.718399 kappa 0.725008 kappa 0.768846 kappa 0.754422 kappa 0.709875 kappa 0.718033 kappa 0.725136 kappa 0.702733 kappa 0.740457 kappa 0.726606 kappa 0.702332 kappa 0.739626 kappa 0.747246 kappa 0.73126 kappa 0.681189 kappa 0.746176 kappa 0.732431 kappa 0.703697 kappa 0.732456 kappa 0.681574 kappa 0.732691 kappa 0.767652 kappa 0.71802 kappa 0.716747 kappa 0.760703 kappa 0.725123 kappa 0.716918 kappa 0.696891 kappa 0.703436 kappa 0.754399 kappa 0.769337 kappa 0.746824 kappa 0.696484 kappa 0.704341 kappa 0.776391 kappa 0.754194 kappa 0.754137 kappa 0.710776 kappa 0.732257 kappa 0.724305 kappa 0.695864 kappa 0.702691 kappa 0.695991 kappa 0.710468 kappa 0.739976 kappa 0.790148 kappa 0.732654 kappa 0.725327 kappa 0.768964 kb_relative_information_score 95.056341 kb_relative_information_score 95.308083 kb_relative_information_score 93.477919 kb_relative_information_score 95.461862 kb_relative_information_score 96.178466 kb_relative_information_score 100.391846 kb_relative_information_score 95.540011 kb_relative_information_score 98.171634 kb_relative_information_score 99.502823 kb_relative_information_score 97.961513 kb_relative_information_score 94.862289 kb_relative_information_score 97.795045 kb_relative_information_score 93.570728 kb_relative_information_score 96.719931 kb_relative_information_score 95.059849 kb_relative_information_score 99.435647 kb_relative_information_score 97.231091 kb_relative_information_score 93.933745 kb_relative_information_score 95.702254 kb_relative_information_score 93.858551 kb_relative_information_score 97.135932 kb_relative_information_score 97.387419 kb_relative_information_score 100.271879 kb_relative_information_score 94.870795 kb_relative_information_score 95.432453 kb_relative_information_score 94.585424 kb_relative_information_score 95.797086 kb_relative_information_score 97.163375 kb_relative_information_score 95.541485 kb_relative_information_score 93.741714 kb_relative_information_score 96.054288 kb_relative_information_score 96.217385 kb_relative_information_score 93.480683 kb_relative_information_score 97.938216 kb_relative_information_score 98.591145 kb_relative_information_score 100.766881 kb_relative_information_score 96.43543 kb_relative_information_score 92.9877 kb_relative_information_score 93.421417 kb_relative_information_score 94.954823 kb_relative_information_score 99.177136 kb_relative_information_score 95.339617 kb_relative_information_score 99.406904 kb_relative_information_score 99.25827 kb_relative_information_score 97.889826 kb_relative_information_score 95.99508 kb_relative_information_score 94.363764 kb_relative_information_score 97.011311 kb_relative_information_score 99.506928 kb_relative_information_score 94.067706 kb_relative_information_score 98.403022 kb_relative_information_score 95.937593 kb_relative_information_score 95.486216 kb_relative_information_score 98.679641 kb_relative_information_score 99.140617 kb_relative_information_score 94.444854 kb_relative_information_score 93.530169 kb_relative_information_score 94.43288 kb_relative_information_score 94.066287 kb_relative_information_score 95.605469 kb_relative_information_score 94.744996 kb_relative_information_score 90.58726 kb_relative_information_score 97.911854 kb_relative_information_score 97.820126 kb_relative_information_score 96.82438 kb_relative_information_score 92.453731 kb_relative_information_score 92.907541 kb_relative_information_score 93.657678 kb_relative_information_score 92.387206 kb_relative_information_score 97.393845 kb_relative_information_score 91.219779 kb_relative_information_score 97.359566 kb_relative_information_score 99.182348 kb_relative_information_score 90.449619 kb_relative_information_score 95.037206 kb_relative_information_score 94.222289 kb_relative_information_score 94.316816 kb_relative_information_score 95.562296 kb_relative_information_score 94.922695 kb_relative_information_score 95.543348 kb_relative_information_score 93.979431 kb_relative_information_score 95.828729 kb_relative_information_score 94.254164 kb_relative_information_score 93.004168 kb_relative_information_score 91.758879 kb_relative_information_score 96.345367 kb_relative_information_score 94.404514 kb_relative_information_score 97.52739 kb_relative_information_score 94.498258 kb_relative_information_score 97.192064 kb_relative_information_score 95.423795 kb_relative_information_score 91.706501 kb_relative_information_score 91.596902 kb_relative_information_score 93.620373 kb_relative_information_score 93.693574 kb_relative_information_score 93.96315 kb_relative_information_score 98.782817 kb_relative_information_score 95.553182 kb_relative_information_score 96.925661 kb_relative_information_score 98.807058 mean_absolute_error 0.050263 mean_absolute_error 0.048683 mean_absolute_error 0.049078 mean_absolute_error 0.049547 mean_absolute_error 0.049418 mean_absolute_error 0.04723 mean_absolute_error 0.049314 mean_absolute_error 0.047417 mean_absolute_error 0.047234 mean_absolute_error 0.047072 mean_absolute_error 0.04916 mean_absolute_error 0.04821 mean_absolute_error 0.05168 mean_absolute_error 0.04931 mean_absolute_error 0.050097 mean_absolute_error 0.046292 mean_absolute_error 0.04821 mean_absolute_error 0.05014 mean_absolute_error 0.049031 mean_absolute_error 0.049959 mean_absolute_error 0.049008 mean_absolute_error 0.048802 mean_absolute_error 0.047164 mean_absolute_error 0.049901 mean_absolute_error 0.049632 mean_absolute_error 0.049155 mean_absolute_error 0.049544 mean_absolute_error 0.048703 mean_absolute_error 0.049596 mean_absolute_error 0.050402 mean_absolute_error 0.049461 mean_absolute_error 0.048245 mean_absolute_error 0.049221 mean_absolute_error 0.047862 mean_absolute_error 0.047098 mean_absolute_error 0.047158 mean_absolute_error 0.050024 mean_absolute_error 0.050637 mean_absolute_error 0.050263 mean_absolute_error 0.050269 mean_absolute_error 0.048428 mean_absolute_error 0.04997 mean_absolute_error 0.048408 mean_absolute_error 0.048269 mean_absolute_error 0.048608 mean_absolute_error 0.049451 mean_absolute_error 0.050316 mean_absolute_error 0.049467 mean_absolute_error 0.047334 mean_absolute_error 0.049328 mean_absolute_error 0.048722 mean_absolute_error 0.049514 mean_absolute_error 0.050092 mean_absolute_error 0.046903 mean_absolute_error 0.04816 mean_absolute_error 0.050642 mean_absolute_error 0.051084 mean_absolute_error 0.049605 mean_absolute_error 0.050085 mean_absolute_error 0.049397 mean_absolute_error 0.04834 mean_absolute_error 0.05216 mean_absolute_error 0.048085 mean_absolute_error 0.049298 mean_absolute_error 0.04882 mean_absolute_error 0.051516 mean_absolute_error 0.051488 mean_absolute_error 0.05072 mean_absolute_error 0.051852 mean_absolute_error 0.049103 mean_absolute_error 0.051362 mean_absolute_error 0.049628 mean_absolute_error 0.04685 mean_absolute_error 0.051973 mean_absolute_error 0.049961 mean_absolute_error 0.050823 mean_absolute_error 0.051243 mean_absolute_error 0.048489 mean_absolute_error 0.050827 mean_absolute_error 0.049244 mean_absolute_error 0.050358 mean_absolute_error 0.049376 mean_absolute_error 0.050717 mean_absolute_error 0.051072 mean_absolute_error 0.052128 mean_absolute_error 0.049994 mean_absolute_error 0.04987 mean_absolute_error 0.049632 mean_absolute_error 0.049495 mean_absolute_error 0.04864 mean_absolute_error 0.050259 mean_absolute_error 0.05159 mean_absolute_error 0.05148 mean_absolute_error 0.049521 mean_absolute_error 0.050183 mean_absolute_error 0.05041 mean_absolute_error 0.048693 mean_absolute_error 0.049873 mean_absolute_error 0.048722 mean_absolute_error 0.048326 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089868 mean_prior_absolute_error 0.089978 mean_prior_absolute_error 0.08988 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.08991 mean_prior_absolute_error 0.089884 mean_prior_absolute_error 0.089853 mean_prior_absolute_error 0.089954 mean_prior_absolute_error 0.089807 mean_prior_absolute_error 0.089902 mean_prior_absolute_error 0.08994 mean_prior_absolute_error 0.089763 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.0899 mean_prior_absolute_error 0.089929 mean_prior_absolute_error 0.089877 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089901 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089869 mean_prior_absolute_error 0.089885 mean_prior_absolute_error 0.089906 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089935 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089866 mean_prior_absolute_error 0.08986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089875 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089907 mean_prior_absolute_error 0.089905 mean_prior_absolute_error 0.089933 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089986 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089896 mean_prior_absolute_error 0.089899 mean_prior_absolute_error 0.089913 mean_prior_absolute_error 0.089894 mean_prior_absolute_error 0.089909 mean_prior_absolute_error 0.089927 mean_prior_absolute_error 0.089881 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089859 mean_prior_absolute_error 0.089931 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089889 mean_prior_absolute_error 0.089966 mean_prior_absolute_error 0.089892 mean_prior_absolute_error 0.089898 mean_prior_absolute_error 0.08997 mean_prior_absolute_error 0.089953 mean_prior_absolute_error 0.089951 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089964 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089926 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089947 mean_prior_absolute_error 0.089919 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089893 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089904 mean_prior_absolute_error 0.090058 mean_prior_absolute_error 0.089867 mean_prior_absolute_error 0.089974 mean_prior_absolute_error 0.089958 mean_prior_absolute_error 0.089984 mean_prior_absolute_error 0.09001 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.089897 mean_prior_absolute_error 0.089918 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.089996 mean_prior_absolute_error 0.090015 mean_prior_absolute_error 0.089968 mean_prior_absolute_error 0.090013 mean_prior_absolute_error 0.089914 mean_prior_absolute_error 0.089994 mean_prior_absolute_error 0.090001 mean_prior_absolute_error 0.089938 mean_prior_absolute_error 0.089879 mean_prior_absolute_error 0.089963 mean_prior_absolute_error 0.089838 mean_prior_absolute_error 0.090012 number_of_instances 156 [1,7,4,5,1,20,34,5,1,1,10,4,16,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,35,4,2,1,9,4,16,6,10,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,19,34,5,2,1,9,4,16,7,10,10,1,3,13,3] number_of_instances 156 [2,8,4,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [2,7,3,5,1,19,34,5,1,1,10,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,34,5,1,1,9,4,16,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,1,9,4,16,7,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,10,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,4,5,0,20,35,4,2,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,4,2,1,10,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,19,34,4,2,2,10,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,5,0,20,35,4,1,2,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,0,20,34,5,1,1,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [2,8,3,5,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,5,0,20,34,4,2,2,9,4,17,6,9,10,2,3,13,4] number_of_instances 156 [1,8,4,5,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,20,34,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,9,10,2,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,10,9,2,3,13,4] number_of_instances 156 [1,7,4,6,1,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,5,0,20,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,4,13,3] number_of_instances 156 [2,7,4,6,0,19,35,4,2,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,4,5,0,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [2,8,4,5,0,20,34,4,2,1,9,4,17,6,10,10,1,3,13,3] number_of_instances 156 [1,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,2,4,13,4] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,0,20,34,4,2,1,9,4,17,6,9,10,2,4,13,4] number_of_instances 156 [1,8,3,6,0,19,34,4,2,1,9,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,7,4,6,1,19,34,4,2,1,10,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,6,0,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,0,20,34,5,1,2,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [2,8,4,5,0,20,34,4,1,2,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,0,20,34,4,2,1,9,4,17,6,9,9,1,4,13,4] number_of_instances 156 [1,7,3,6,1,20,34,5,2,1,9,4,17,7,9,10,1,3,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [1,7,3,6,0,19,34,4,2,1,10,4,17,7,9,10,1,4,13,4] number_of_instances 156 [1,8,4,6,0,20,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,19,35,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,4,6,1,20,34,5,2,1,9,4,17,6,9,9,1,4,13,3] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,6,10,10,1,3,13,4] number_of_instances 156 [2,8,3,5,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,6,1,19,34,4,2,1,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [2,7,3,6,0,20,34,5,1,1,9,4,17,7,9,10,2,3,13,3] number_of_instances 156 [2,7,3,6,1,20,34,4,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,9,4,17,6,9,10,1,4,13,4] number_of_instances 156 [2,8,3,6,0,20,34,4,2,2,9,4,16,6,9,10,1,3,13,4] number_of_instances 156 [1,8,3,5,1,19,34,4,2,1,9,4,17,6,10,10,2,4,13,3] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,7,3,5,1,19,34,5,2,1,10,4,17,6,9,10,2,4,13,3] number_of_instances 156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,5,1,20,34,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,5,1,1,9,4,17,7,9,10,2,4,13,3] number_of_instances 156 [2,7,3,6,1,20,34,5,1,1,9,4,17,7,9,9,1,4,13,3] number_of_instances 156 [2,7,3,6,1,19,34,5,2,1,9,4,17,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,6,0,19,35,4,2,1,9,4,16,6,9,10,2,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,20,34,4,2,1,9,4,17,6,9,10,2,4,13,3] number_of_instances 156 [1,8,3,5,1,19,35,4,2,1,9,4,16,6,9,10,2,4,13,4] number_of_instances 156 [2,7,3,6,1,19,34,4,2,1,9,4,16,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,5,1,19,35,5,2,1,9,4,17,7,9,9,1,4,13,4] number_of_instances 156 [2,7,3,5,1,19,34,5,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,4,2,1,9,4,17,7,9,10,2,4,13,3] number_of_instances 156 [2,8,4,5,1,19,34,5,2,1,9,4,17,7,9,9,1,3,13,3] number_of_instances 156 [2,7,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,4,13,3] number_of_instances 156 [2,8,3,5,1,19,34,4,2,1,9,4,17,7,9,9,2,3,13,4] number_of_instances 156 [1,8,3,5,1,20,34,5,2,1,9,4,17,6,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,20,34,4,2,2,9,4,17,6,9,10,1,4,13,3] number_of_instances 156 [1,8,3,5,1,19,34,4,2,1,9,4,16,7,10,10,2,3,13,4] number_of_instances 156 [1,7,3,6,1,19,34,4,2,1,9,4,17,7,9,9,2,4,13,4] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,10,4,16,7,9,9,1,4,13,4] number_of_instances 156 [2,7,4,5,1,19,34,5,1,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [2,8,3,5,0,19,34,4,2,2,9,4,16,7,9,10,1,4,13,4] number_of_instances 156 [2,8,4,5,1,19,35,5,2,1,9,4,16,7,9,9,1,3,13,3] number_of_instances 156 [2,8,4,5,1,20,34,5,2,1,9,4,16,6,9,9,2,3,13,3] number_of_instances 156 [2,7,3,5,1,19,34,5,1,1,9,4,17,7,9,9,2,4,13,4] number_of_instances 156 [2,8,3,5,0,20,34,5,1,2,9,4,16,7,9,10,1,3,13,4] number_of_instances 156 [1,8,4,5,1,20,34,4,2,1,10,4,17,6,9,10,1,3,13,3] number_of_instances 156 [1,8,3,5,1,19,34,4,2,2,9,4,17,7,9,10,1,3,13,4] number_of_instances 156 [1,7,3,6,1,19,35,4,2,1,9,4,17,7,9,10,1,4,13,3] number_of_instances 156 [1,7,3,6,1,19,34,5,2,1,9,4,16,7,9,10,1,4,13,4] precision 0.704478 [0,1,0,1,0,0.642857,0.944444,0,0,0,0.4,1,0.565217,0.75,0.875,0.833333,0,1,0.571429,1] precision 0.671488 [0,1,0,0,0,0.586207,0.813953,1,0,0,0.625,0,0.642857,0.857143,0.818182,0.833333,0,1,0.642857,0.8] precision 0.682707 [0,1,0,0,0,0.612903,0.809524,0,0,0,0.666667,1,0.6875,1,0.833333,0.833333,0,1,0.666667,1] precision 0.771032 [0,1,0,1,0,0.692308,0.918919,0.666667,0,0,1,1,0.541667,0.833333,1,0.666667,0,1,0.8,0.75] precision 0.672855 [0,1,0,0,0,0.558824,0.918919,0,0,0,0.625,1,0.705882,0.636364,0.875,0.6,0,1,0.625,1] precision 0.747663 [0,1,0,1,0,0.625,0.944444,0,0,0,0.833333,1,0.666667,0.7,0.777778,0.909091,0,1,0.666667,0.8] precision 0.72037 [0,0.888889,0,1,0,0.607143,0.871795,1,0,0,0.714286,1,0.6,1,0.666667,0.769231,0,1,0.571429,0.666667] precision 0.714864 [0,1,0,1,0,0.558824,0.85,0,0,0,0.833333,1,0.588235,1,1,0.769231,0,1,0.583333,0.666667] precision 0.757613 [0,1,0,1,0,0.730769,0.894737,0,0,0,0.777778,1,0.545455,1,0.875,0.769231,0,1,0.733333,1] precision 0.726879 [0,1,0,1,0,0.575758,0.894737,0,0,0,0.615385,1,0.75,0.857143,1,0.769231,0,1,0.454545,1] precision 0.705688 [0,1,0,1,0,0.6,0.85,0,0,0,0.75,1,0.571429,1,0.75,0.666667,0,0.75,0.777778,0.666667] precision 0.75242 [0,1,0,0.666667,0,0.645161,0.871795,0.5,0,0,0.75,1,0.666667,0.666667,1,1,0,1,0.666667,1] precision 0.708751 [0,0.888889,0,1,0,0.551724,0.944444,1,0,0,0.777778,1,0.5,0.75,0.888889,0.588235,0,1,0.4,1] precision 0.778074 [0,1,0,1,0,0.555556,0.921053,1,0,0,0.625,1,0.785714,1,1,0.769231,0,1,0.642857,1] precision 0.755902 [0,1,0,1,0,0.555556,0.894737,1,0,0,0.75,1,0.571429,1,1,0.909091,0,1,0.583333,0.75] precision 0.773477 [0,1,1,1,0,0.655172,0.85,1,0,0,0.5,1,0.733333,1,0.666667,0.769231,0,1,0.769231,1] precision 0.73084 [0,1,0,1,0,0.540541,0.894737,0,0,0,0.571429,1,0.6875,1,0.818182,1,0,1,0.636364,1] precision 0.722326 [0,1,0,1,0,0.6,0.918919,0,0,0,0.555556,1,0.642857,1,1,0.833333,0,0.8,0.444444,0.8] precision 0.694096 [0,0.888889,0,0,0,0.606061,0.894737,0,0,0,0.583333,1,0.666667,1,1,0.769231,0,1,0.7,0.75] precision 0.719321 [0,1,0,1,0,0.542857,0.918919,0,0,0,0.666667,1,0.6,0.857143,0.833333,0.833333,0,1,0.6875,1] precision 0.718475 [0,1,0,1,0,0.513514,0.829268,0,0,0,0.8,1,0.75,1,1,0.666667,0,1,0.615385,1] precision 0.749414 [0,1,0,1,0,0.612903,0.871795,1,0,0,0.571429,1,0.529412,1,1,1,0,1,0.666667,0.8] precision 0.720882 [0,1,0,0.666667,0,0.625,0.891892,0,0,0,0.666667,1,0.733333,0.833333,0.9,0.833333,0,0.8,0.615385,0.8] precision 0.739542 [0,1,0,1,0,0.62069,0.744186,0,0,0,1,1,0.846154,0.875,0.888889,0.714286,0,1,0.615385,1] precision 0.731464 [0,1,0,1,0,0.542857,0.829268,1,0,0,0.8,1,0.588235,0.875,0.875,0.833333,0,1,0.636364,0.75] precision 0.728273 [0,1,0,1,0,0.612903,0.871795,0,0,0,0.875,1,0.578947,0.857143,0.818182,0.692308,0,1,0.8,1] precision 0.718956 [0,1,0,1,0,0.6,0.85,1,0,0,0.428571,1,0.5,0.7,1,0.666667,0,1,0.8,0.8] precision 0.735398 [0,1,0,1,0,0.655172,0.868421,0,0,0,0.555556,1,0.55,0.75,0.9,0.769231,0,1,0.9,1] precision 0.718302 [0,1,0,1,0,0.5625,0.825,0.5,0,0,0.625,1,0.538462,0.857143,1,0.833333,0,1,0.75,0.75] precision 0.674654 [0,1,0,1,0,0.606061,0.755556,0,0,0,0.666667,1,0.692308,1,1,0.666667,0,0.75,0.5,0.75] precision 0.744737 [0,1,0,1,0,0.612903,0.846154,1,0,0,0.666667,1,0.6,0.75,0.909091,0.642857,0,1,0.875,0.8] precision 0.721785 [0,0.875,0,1,0,0.529412,0.894737,0,0,0,1,1,0.538462,0.857143,0.818182,0.642857,0,1,0.909091,0.8] precision 0.648073 [0,1,0,0,0,0.62069,0.871795,0,0,0,0.416667,1,0.52381,0.666667,1,0.692308,0,1,0.6,0.666667] precision 0.746742 [0,1,0,1,0,0.730769,0.871795,0.5,0,0,0.5,1,0.6,0.777778,0.888889,0.909091,0,1,0.615385,1] precision 0.728899 [0,0.888889,0,1,0,0.655172,0.944444,0,0,0,0.625,0.666667,0.6,0.666667,1,0.909091,0,1,0.6,1] precision 0.802131 [0,1,1,1,0,0.642857,0.897436,1,0,0,1,1,0.722222,0.777778,1,0.642857,0,1,0.615385,1] precision 0.730763 [0,1,0,1,0,0.575758,0.888889,0,0,0,0.875,1,0.684211,0.714286,0.888889,0.692308,0,1,0.7,1] precision 0.640421 [0,0.875,0,1,0,0.517241,0.846154,0,0,0,0.555556,1,0.45,0.75,0.8,0.6,0,1,0.666667,0.75] precision 0.720487 [0,1,0,0.666667,0,0.6,0.829268,1,0,0,0.555556,1,0.666667,0.75,0.888889,0.692308,0,1,0.777778,1] precision 0.715757 [0,1,1,1,0,0.689655,0.820513,0,0,0,0.5,1,0.428571,0.666667,0.888889,0.818182,0,1,0.777778,1] precision 0.773212 [0,1,0,1,0,0.692308,0.891892,1,0,0,0.666667,1,0.652174,0.833333,1,0.818182,0,1,0.615385,1] precision 0.705187 [0,0.875,0,1,0,0.575758,0.825,1,0,0,0.571429,1,0.6,0.857143,1,0.625,0,1,0.583333,1] precision 0.741522 [0,1,0,1,0,0.666667,0.894737,0,0,0,0.857143,1,0.666667,0.75,1,0.833333,0,0.8,0.526316,1] precision 0.715874 [0,0.888889,0,1,0,0.545455,0.918919,0.5,0,0,0.5,1,0.529412,0.857143,0.777778,0.833333,0,1,0.625,1] precision 0.761266 [0,1,0,1,0,0.769231,0.790698,0,0,0,0.833333,1,0.8125,0.75,0.9,0.909091,0,0.8,0.714286,1] precision 0.721903 [0,1,0,1,0,0.542857,0.916667,1,0,0,0.875,0.8,0.55,0.75,0.75,0.818182,0,1,0.555556,1] precision 0.694193 [0,1,0,0,0,0.62069,0.829268,1,0,0,0.444444,1,0.555556,0.875,0.9,0.818182,0,1,0.636364,1] precision 0.779726 [0,1,1,1,0,0.642857,0.85,1,0,0,0.666667,1,0.705882,1,0.818182,0.692308,0,1,0.714286,1] precision 0.773148 [0,1,0,1,0,0.6,0.891892,1,0,0,0.875,1,0.578947,0.75,0.9,0.833333,0,1,0.818182,1] precision 0.738099 [0,1,0,1,0,0.655172,0.944444,1,0,0,0.461538,1,0.6,1,0.875,0.625,0,0.8,0.692308,0.75] precision 0.696526 [0,1,0,1,0,0.612903,0.85,1,0,0,0.7,0,0.466667,1,0.888889,0.6,0,1,0.666667,0.8] precision 0.735583 [0,1,0,1,0,0.566667,0.868421,1,0,0,0.636364,1,0.7,1,0.571429,0.666667,0,1,0.727273,1] precision 0.737502 [0,1,0,1,0,0.533333,0.871795,1,0,0,0.571429,1,0.5625,0.75,0.9,0.833333,0,1,0.909091,0.571429] precision 0.752087 [0,1,0,1,0,0.708333,0.871795,0,0,0,0.875,1,0.684211,0.875,0.875,0.769231,0,0.8,0.714286,0.666667] precision 0.743106 [0,0.888889,0,1,0,0.655172,0.918919,0,0,0,0.428571,1,0.733333,0.857143,0.777778,0.9,0,1,0.769231,1] precision 0.705575 [0,1,0,0.333333,0,0.518519,0.809524,1,0,0,0.75,1,0.625,0.857143,0.8,0.714286,0,1,0.833333,1] precision 0.685502 [0,1,0,0.75,0,0.6,0.945946,0,0,0,0.666667,0.75,0.555556,0.857143,0.888889,0.714286,0,1,0.4,1] precision 0.731515 [0,0.875,0,1,0,0.678571,0.894737,1,0,0,0.714286,1,0.533333,0.857143,0.875,0.642857,0,1,0.65,0.75] precision 0.699142 [0,1,0,1,0,0.484848,0.846154,0,0,0,0.833333,1,0.733333,0.6,0.9,0.833333,0,1,0.5,0.8] precision 0.718333 [0,1,0,1,0,0.666667,0.942857,0,0,0,0.625,1,0.6,0.777778,0.9,0.625,0,1,0.6,0.75] precision 0.711818 [0,0.888889,0,1,0,0.551724,0.971429,0,0,0,0.75,0.666667,0.5,0.75,0.75,1,0,1,0.727273,0.6] precision 0.678466 [0,1,0,0.666667,0,0.625,0.846154,0,0,0,0.666667,1,0.470588,0.857143,1,0.714286,0,1,0.571429,1] precision 0.743671 [0,1,0,1,0,0.72,0.894737,1,0,0,0.666667,1,0.45,0.875,0.75,0.666667,0,1,0.769231,1] precision 0.722466 [0,1,0,1,0,0.548387,0.871795,0,0,0,0.6,1,0.75,0.857143,0.818182,0.833333,0,1,0.727273,0.8] precision 0.721275 [0,1,0,1,0,0.633333,0.871795,0,0,0,0.857143,1,0.5,0.8,0.818182,0.833333,0,1,0.692308,1] precision 0.661549 [0,0.888889,0,1,0,0.62963,0.809524,0,0,0,0.545455,1,0.4,0.714286,0.9,0.769231,0,1,0.666667,0.75] precision 0.694348 [0,0.875,0,0,0,0.769231,0.804878,0,0,0,0.75,1,0.7,0.625,0.888889,0.714286,0,0.8,0.9,1] precision 0.714941 [0,1,1,0.666667,0,0.580645,0.871795,0,0,0,0.75,1,0.666667,0.666667,0.9,0.909091,0,1,0.5,1] precision 0.669849 [0,1,0,1,0,0.633333,0.846154,0,0,0,0.25,1,0.583333,1,0.9,0.6,0,0.8,0.631579,0.8] precision 0.729934 [0,0.875,0,1,0,0.727273,0.804878,1,0,0,0.666667,1,0.647059,0.857143,0.75,0.75,0,1,0.666667,0.666667] precision 0.65968 [0,1,0,0,0,0.59375,0.825,1,0,0,0.5,0.5,0.545455,0.545455,0.8,0.833333,0,1,0.727273,1] precision 0.747175 [0,1,0,1,0,0.580645,0.918919,1,0,0,0.857143,1,0.625,0.777778,0.888889,0.666667,0,1,0.583333,0.75] precision 0.744469 [0,1,0,1,0,0.655172,0.85,0,0,0,1,1,0.571429,0.777778,0.875,0.9,0,1,0.769231,1] precision 0.680468 [0,1,0,0.5,0,0.59375,0.868421,0,0,0,0.7,1,0.647059,0.75,0.777778,0.727273,0,1,0.75,0.75] precision 0.733054 [0,1,1,1,0,0.545455,0.85,0,0,0,1,1,0.6,0.833333,0.7,0.714286,0,1,0.769231,0.8] precision 0.740261 [0,1,0,1,0,0.678571,0.894737,0,0,0,0.833333,1,0.6,0.857143,0.818182,0.818182,0,1,0.7,1] precision 0.722457 [0,1,1,1,0,0.72,0.85,0,0,0,0.625,1,0.611111,0.666667,1,0.666667,0,0.8,0.636364,0.75] precision 0.722482 [0,1,0,1,0,0.575758,0.875,1,0,0,0.6,1,0.5625,0.75,0.777778,0.714286,0,1,0.7,1] precision 0.698783 [0,1,0,1,0,0.666667,0.85,1,0,0,0.666667,1,0.230769,0.875,0.818182,0.75,1,1,0.5625,0.8] precision 0.710306 [0,0.875,0,1,0,0.607143,0.945946,0,0,0,1,1,0.5,0.777778,0.818182,0.692308,0,1,0.5,1] precision 0.757473 [0,1,0,1,0,0.607143,0.891892,1,0,0,0.833333,1,0.714286,0.636364,0.875,0.833333,0,1,0.615385,1] precision 0.751171 [0,1,1,1,0,0.75,0.894737,0,0,0,0.7,1,0.631579,0.777778,0.818182,0.666667,0,1,0.75,0.75] precision 0.719443 [0,1,0,1,0,0.575758,0.891892,0,0,0,0.777778,1,0.578947,0.857143,0.818182,0.818182,0,1,0.8,1] precision 0.662975 [0,0.875,0,0,0,0.527778,0.942857,0,0,0,1,1,0.55,0.5,0.888889,0.818182,0,1,0.636364,0.75] precision 0.683248 [0,1,0,1,0,0.551724,0.891892,0,0,0,0.636364,1,0.533333,0.857143,0.777778,0.642857,0,1,0.692308,0.8] precision 0.742808 [0,1,0,1,0,0.689655,0.942857,0,0,0,0.454545,1,0.631579,1,1,0.833333,0,1,0.666667,0.8] precision 0.780479 [0,1,1,1,0,0.545455,0.918919,1,0,0,0.6,1,0.714286,1,0.75,0.714286,0,1,0.916667,0.75] precision 0.724788 [0,1,0,1,0,0.681818,0.825,0,0,0,0.777778,1,0.555556,0.875,0.909091,0.909091,0,1,0.666667,0.8] precision 0.706976 [0,1,0,0.5,0,0.666667,0.894737,1,0,0,0.714286,1,0.541667,0.6,0.777778,0.818182,0,1,0.6,0.8] precision 0.71145 [0,1,0,0,0,0.642857,0.829268,1,0,0,1,1,0.470588,1,0.75,0.692308,0,1,0.8,0.666667] precision 0.665457 [0,1,0,0,0,0.666667,0.829268,0,0,0,0.571429,1,0.608696,1,0.818182,0.642857,0,1,0.666667,1] precision 0.641602 [0,1,0,0,0,0.653846,0.85,0,0,0,0.333333,1,0.571429,0.6,0.875,0.588235,0,1,0.666667,1] precision 0.693352 [0,0.888889,0,1,0,0.529412,0.894737,0,0,0,0.571429,1,0.75,0.857143,0.875,0.692308,0,1,0.571429,1] precision 0.664188 [0,1,1,0,0,0.612903,0.894737,0,0,0,0.571429,1,0.444444,1,0.818182,0.6,0,1,0.666667,0.75] precision 0.704076 [0,1,1,1,0,0.566667,0.825,0,0,0,0.75,1,0.444444,0.75,0.888889,0.818182,0,1,0.7,1] precision 0.749188 [0,0.888889,0,1,0,0.612903,0.868421,1,0,0,0.545455,1,0.7,0.777778,1,0.909091,0,1,0.666667,0.666667] precision 0.769819 [0,1,0,0.75,0,0.76,0.846154,1,0,0,1,0.666667,0.631579,1,0.9,0.833333,0,1,0.714286,0.75] precision 0.734107 [0,1,0,0.666667,0,0.533333,0.891892,1,0,0,0.625,1,0.631579,0.875,1,0.714286,0,1,0.7,1] precision 0.731387 [0,0.875,0,1,0,0.555556,0.921053,1,0,0,0.714286,0.75,0.833333,0.75,0.7,0.714286,0,1,0.545455,0.6] precision 0.763177 [0,1,0,1,0,0.730769,0.894737,1,0,0,0.428571,1,0.65,0.75,0.9,0.714286,0,1,0.769231,1] predictive_accuracy 0.75641 predictive_accuracy 0.75 predictive_accuracy 0.775641 predictive_accuracy 0.794872 predictive_accuracy 0.74359 predictive_accuracy 0.794872 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.801282 predictive_accuracy 0.769231 predictive_accuracy 0.74359 predictive_accuracy 0.788462 predictive_accuracy 0.730769 predictive_accuracy 0.788462 predictive_accuracy 0.775641 predictive_accuracy 0.788462 predictive_accuracy 0.775641 predictive_accuracy 0.75641 predictive_accuracy 0.775641 predictive_accuracy 0.75641 predictive_accuracy 0.75 predictive_accuracy 0.782051 predictive_accuracy 0.775641 predictive_accuracy 0.775641 predictive_accuracy 0.74359 predictive_accuracy 0.775641 predictive_accuracy 0.74359 predictive_accuracy 0.775641 predictive_accuracy 0.75641 predictive_accuracy 0.724359 predictive_accuracy 0.762821 predictive_accuracy 0.75641 predictive_accuracy 0.717949 predictive_accuracy 0.782051 predictive_accuracy 0.782051 predictive_accuracy 0.801282 predictive_accuracy 0.775641 predictive_accuracy 0.685897 predictive_accuracy 0.75641 predictive_accuracy 0.74359 predictive_accuracy 0.801282 predictive_accuracy 0.724359 predictive_accuracy 0.788462 predictive_accuracy 0.74359 predictive_accuracy 0.820513 predictive_accuracy 0.74359 predictive_accuracy 0.75 predictive_accuracy 0.788462 predictive_accuracy 0.794872 predictive_accuracy 0.75641 predictive_accuracy 0.74359 predictive_accuracy 0.75 predictive_accuracy 0.75641 predictive_accuracy 0.794872 predictive_accuracy 0.782051 predictive_accuracy 0.74359 predictive_accuracy 0.75 predictive_accuracy 0.75641 predictive_accuracy 0.737179 predictive_accuracy 0.769231 predictive_accuracy 0.75641 predictive_accuracy 0.737179 predictive_accuracy 0.769231 predictive_accuracy 0.775641 predictive_accuracy 0.762821 predictive_accuracy 0.717949 predictive_accuracy 0.775641 predictive_accuracy 0.762821 predictive_accuracy 0.737179 predictive_accuracy 0.762821 predictive_accuracy 0.717949 predictive_accuracy 0.762821 predictive_accuracy 0.794872 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.788462 predictive_accuracy 0.75641 predictive_accuracy 0.75 predictive_accuracy 0.730769 predictive_accuracy 0.737179 predictive_accuracy 0.782051 predictive_accuracy 0.794872 predictive_accuracy 0.775641 predictive_accuracy 0.730769 predictive_accuracy 0.737179 predictive_accuracy 0.801282 predictive_accuracy 0.782051 predictive_accuracy 0.782051 predictive_accuracy 0.74359 predictive_accuracy 0.762821 predictive_accuracy 0.75641 predictive_accuracy 0.730769 predictive_accuracy 0.737179 predictive_accuracy 0.730769 predictive_accuracy 0.74359 predictive_accuracy 0.769231 predictive_accuracy 0.814103 predictive_accuracy 0.762821 predictive_accuracy 0.75641 predictive_accuracy 0.794872 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 prior_entropy 3.738083 recall 0.75641 [0,1,0,0.6,0,0.9,1,0,0,0,0.2,0.75,0.8125,0.857143,0.777778,1,0,1,0.615385,1] recall 0.75 [0,1,0,0,0,0.894737,1,0.25,0,0,0.555556,0,0.5625,1,0.9,1,0,1,0.692308,1] recall 0.775641 [0,1,0,0,0,1,1,0,0,0,0.444444,1,0.6875,1,1,1,0,1,0.615385,1] recall 0.794872 [0,1,0,0.4,0,0.9,1,0.5,0,0,0.777778,0.25,0.764706,0.833333,1,1,0,1,0.615385,1] recall 0.74359 [0,1,0,0,0,1,1,0,0,0,0.5,0.75,0.705882,1,0.777778,1,0,1,0.384615,1] recall 0.794872 [0,1,0,0.6,0,1,1,0,0,0,0.555556,0.5,0.75,1,0.777778,1,0,1,0.615385,1] recall 0.75 [0,1,0,0.4,0,0.85,1,0.25,0,0,0.555556,0.5,0.375,1,1,1,0,1,0.615385,1] recall 0.75 [0,1,0,0.6,0,0.95,1,0,0,0,0.555556,0.5,0.588235,1,0.555556,1,0,1,0.538462,1] recall 0.801282 [0,1,0,0.4,0,0.95,1,0,0,0,0.7,0.75,0.705882,0.857143,0.777778,1,0,1,0.846154,0.666667] recall 0.769231 [0,1,0,0.5,0,1,1,0,0,0,0.888889,0.5,0.529412,1,0.888889,1,0,1,0.384615,1] recall 0.74359 [0,1,0,0.2,0,0.9,0.971429,0,0,0,0.666667,0.25,0.5,1,1,1,0,1,0.538462,1] recall 0.788462 [0,1,0,0.4,0,1,1,0.25,0,0,0.9,0.25,0.705882,0.666667,0.777778,1,0,1,0.615385,1] recall 0.730769 [0,1,0,0.2,0,0.842105,1,0.25,0,0,0.7,0.75,0.470588,1,0.888889,1,0,1,0.307692,1] recall 0.788462 [0,1,0,0.2,0,1,1,0.25,0,0,0.555556,0.75,0.647059,0.857143,0.888889,1,0,1,0.692308,1] recall 0.775641 [0,1,0,0.6,0,1,1,0.4,0,0,0.666667,0.5,0.470588,1,0.888889,1,0,1,0.538462,1] recall 0.788462 [0,1,0.333333,0.4,0,0.95,1,0.5,0,0,0.333333,0.25,0.647059,1,0.888889,1,0,1,0.769231,1] recall 0.775641 [0,1,0,0.6,0,1,1,0,0,0,0.444444,0.25,0.6875,1,1,1,0,1,0.538462,1] recall 0.75641 [0,1,0,0.4,0,0.9,1,0,0,0,0.555556,0.25,0.529412,1,0.888889,1,0,1,0.615385,1] recall 0.775641 [0,1,0,0,0,1,1,0,0,0,0.777778,0.75,0.588235,1,1,1,0,1,0.538462,1] recall 0.75641 [0,1,0,0.166667,0,0.95,1,0,0,0,0.444444,0.5,0.705882,1,0.555556,1,0,1,0.846154,1] recall 0.75 [0,1,0,0.4,0,0.95,1,0,0,0,0.444444,1,0.529412,1,0.666667,1,0,1,0.615385,1] recall 0.782051 [0,1,0,0.6,0,0.95,1,0.25,0,0,0.444444,1,0.529412,0.833333,0.888889,1,0,1,0.769231,1] recall 0.775641 [0,1,0,0.4,0,1,0.970588,0,0,0,0.666667,0.25,0.647059,0.833333,1,1,0,1,0.615385,1] recall 0.775641 [0,1,0,0.6,0,0.9,0.941176,0,0,0,0.555556,0.75,0.647059,1,0.888889,1,0,1,0.615385,1] recall 0.74359 [0,1,0,0.2,0,0.95,1,0.2,0,0,0.444444,0.5,0.588235,1,0.777778,1,0,1,0.538462,1] recall 0.775641 [0,1,0,0.166667,0,0.95,1,0,0,0,0.777778,0.75,0.647059,0.857143,1,1,0,1,0.615385,1] recall 0.74359 [0,1,0,0.2,0,0.947368,1,0.4,0,0,0.333333,0.5,0.470588,1,1,0.888889,0,1,0.615385,1] recall 0.775641 [0,1,0,0.333333,0,0.95,0.970588,0,0,0,0.555556,0.5,0.647059,0.857143,1,1,0,1,0.692308,1] recall 0.75641 [0,1,0,0.6,0,0.9,0.970588,0.2,0,0,0.555556,0.5,0.411765,1,1,1,0,1,0.692308,1] recall 0.724359 [0,1,0,0.4,0,1,1,0,0,0,0.444444,0.25,0.529412,1,0.888889,1,0,1,0.384615,1] recall 0.762821 [0,1,0,0.5,0,0.95,0.970588,0.25,0,0,0.666667,0.25,0.529412,1,1,1,0,1,0.538462,1] recall 0.75641 [0,1,0,0.333333,0,0.9,1,0,0,0,0.555556,0.75,0.411765,1,1,1,0,1,0.769231,1] recall 0.717949 [0,1,0,0,0,0.9,1,0,0,0,0.555556,0.25,0.647059,1,1,0.9,0,1,0.230769,1] recall 0.782051 [0,1,0,0.4,0,0.95,1,0.25,0,0,0.666667,0.5,0.529412,1,0.888889,1,0,1,0.615385,1] recall 0.782051 [0,1,0,0.6,0,0.95,1,0,0,0,0.555556,0.5,0.705882,1,1,1,0,1,0.461538,1] recall 0.801282 [0,1,0.25,0.333333,0,0.947368,1,0.25,0,0,0.666667,0.75,0.764706,1,0.888889,1,0,1,0.615385,1] recall 0.775641 [0,1,0,0.2,0,1,0.941176,0,0,0,0.777778,1,0.764706,0.714286,0.888889,1,0,1,0.538462,1] recall 0.685897 [0,1,0,0.333333,0,0.75,0.970588,0,0,0,0.555556,0.5,0.529412,1,0.888889,1,0,1,0.307692,1] recall 0.75641 [0,1,0,0.4,0,0.9,1,0.4,0,0,0.555556,0.75,0.588235,1,0.888889,0.9,0,1,0.538462,1] recall 0.74359 [0,1,0.25,0.6,0,1,0.941176,0,0,0,0.444444,0.75,0.529412,1,0.8,0.9,0,1,0.538462,1] recall 0.801282 [0,1,0,0.333333,0,0.9,0.970588,0.25,0,0,0.666667,0.75,0.882353,0.833333,1,1,0,1,0.615385,1] recall 0.724359 [0,1,0,0.5,0,0.95,0.970588,0.2,0,0,0.444444,0.25,0.529412,1,0.777778,1,0,1,0.538462,1] recall 0.788462 [0,1,0,0.666667,0,1,1,0,0,0,0.666667,0.75,0.470588,1,0.777778,1,0,1,0.769231,1] recall 0.74359 [0,1,0,0.666667,0,0.947368,1,0.25,0,0,0.444444,0.5,0.529412,0.857143,0.777778,1,0,1,0.384615,1] recall 0.820513 [0,1,0,0.5,0,1,1,0,0,0,0.555556,0.75,0.764706,1,1,1,0,1,0.769231,1] recall 0.74359 [0,1,0,0.166667,0,1,0.970588,0.25,0,0,0.7,1,0.647059,1,0.666667,1,0,1,0.384615,1] recall 0.75 [0,1,0,0,0,0.947368,1,0.2,0,0,0.444444,0.5,0.588235,1,1,1,0,1,0.538462,1] recall 0.788462 [0,1,0.25,0.5,0,0.9,1,0.4,0,0,0.444444,0.75,0.705882,0.666667,1,1,0,1,0.769231,1] recall 0.794872 [0,1,0,0.4,0,0.9,0.970588,0.2,0,0,0.777778,0.75,0.647059,1,1,1,0,1,0.692308,1] recall 0.75641 [0,1,0,0.2,0,0.95,1,0.25,0,0,0.666667,0.5,0.529412,0.833333,0.777778,1,0,1,0.692308,1] recall 0.74359 [0,1,0,0.5,0,0.95,1,0.25,0,0,0.777778,0,0.411765,1,0.888889,1,0,1,0.461538,1] recall 0.75 [0,1,0,0.5,0,0.85,0.970588,0.2,0,0,0.777778,0.75,0.411765,1,0.888889,1,0,1,0.615385,1] recall 0.75641 [0,1,0,0.333333,0,0.8,1,0.25,0,0,0.444444,0.5,0.529412,1,1,1,0,1,0.769231,1] recall 0.794872 [0,1,0,0.166667,0,0.894737,1,0,0,0,0.7,0.75,0.764706,1,0.777778,1,0,1,0.769231,1] recall 0.782051 [0,1,0,0.5,0,0.95,1,0,0,0,0.666667,0.5,0.647059,1,0.777778,0.9,0,1,0.769231,1] recall 0.74359 [0,1,0,0.166667,0,0.736842,1,0.25,0,0,0.666667,0.25,0.588235,1,0.888889,1,0,1,0.769231,1] recall 0.75 [0,1,0,0.5,0,0.947368,1,0,0,0,0.666667,0.75,0.588235,1,0.888889,1,0,1,0.307692,1] recall 0.75641 [0,1,0,0.166667,0,0.95,1,0.2,0,0,0.555556,0.25,0.470588,1,0.777778,1,0,1,1,1] recall 0.737179 [0,1,0,0.4,0,0.8,0.970588,0,0,0,0.555556,0.75,0.647059,1,0.9,1,0,1,0.384615,1] recall 0.769231 [0,1,0,0.2,0,0.9,0.970588,0,0,0,0.555556,1,0.705882,1,1,1,0,1,0.461538,1] recall 0.75641 [0,1,0,0.333333,0,0.842105,1,0,0,0,0.666667,1,0.529412,1,1,1,0,0.75,0.615385,1] recall 0.737179 [0,1,0,0.333333,0,1,0.970588,0,0,0,0.444444,0.75,0.470588,0.857143,0.888889,1,0,1,0.615385,1] recall 0.769231 [0,1,0,0.333333,0,0.9,1,0.25,0,0,0.444444,0.5,0.529412,1,1,1,0,1,0.769231,1] recall 0.775641 [0,1,0,0.666667,0,0.894737,1,0,0,0,0.666667,0.75,0.529412,1,1,1,0,1,0.615385,1] recall 0.762821 [0,1,0,0.166667,0,0.95,1,0,0,0,0.666667,0.25,0.6875,0.666667,1,1,0,1,0.692308,1] recall 0.717949 [0,1,0,0.4,0,0.894737,1,0,0,0,0.666667,0.5,0.352941,0.833333,0.9,1,0,1,0.461538,1] recall 0.775641 [0,1,0,0,0,1,0.970588,0,0,0,0.666667,0.5,0.823529,0.833333,0.888889,1,0,1,0.692308,1] recall 0.762821 [0,1,0.333333,0.4,0,0.947368,1,0,0,0,0.6,0.75,0.588235,1,1,1,0,1,0.461538,1] recall 0.737179 [0,1,0,0.333333,0,1,0.970588,0,0,0,0.111111,0.25,0.4375,1,1,1,0,1,0.923077,1] recall 0.762821 [0,1,0,0.8,0,0.8,0.970588,0.2,0,0,0.444444,0.25,0.647059,0.857143,1,1,0,1,0.769231,1] recall 0.717949 [0,1,0,0,0,1,0.970588,0.2,0,0,0.666667,0.25,0.352941,0.857143,0.888889,1,0,1,0.615385,1] recall 0.762821 [0,1,0,0.4,0,0.947368,1,0.2,0,0,0.666667,0.25,0.588235,1,0.888889,1,0,1,0.538462,1] recall 0.794872 [0,1,0,0.666667,0,0.95,1,0,0,0,0.666667,0.5,0.705882,1,0.777778,1,0,1,0.769231,1] recall 0.75 [0,1,0,0.166667,0,1,0.970588,0,0,0,0.777778,0.5,0.647059,1,0.777778,0.888889,0,1,0.692308,1] recall 0.75 [0,1,0.333333,0.166667,0,0.947368,0.971429,0,0,0,0.555556,0.5,0.5625,0.833333,0.777778,1,0,1,0.769231,1] recall 0.788462 [0,1,0,0.2,0,0.95,1,0,0,0,0.555556,0.75,0.882353,1,1,0.9,0,1,0.538462,1] recall 0.75641 [0,1,0.333333,0.333333,0,0.9,1,0,0,0,0.555556,0.25,0.647059,1,1,1,0,1,0.538462,1] recall 0.75 [0,1,0,0.2,0,1,1,0.25,0,0,0.333333,0.75,0.5625,1,0.777778,1,0,1,0.538462,1] recall 0.730769 [0,1,0,0.333333,0,0.947368,1,0.25,0,0,0.444444,0.5,0.1875,1,1,1,0.5,1,0.692308,1] recall 0.737179 [0,1,0,0.2,0,0.894737,1,0,0,0,0.444444,0.25,0.588235,1,1,1,0,1,0.538462,1] recall 0.782051 [0,1,0,0.4,0,0.894737,0.970588,0.2,0,0,0.555556,0.75,0.882353,1,0.777778,1,0,1,0.615385,1] recall 0.794872 [0,1,0.333333,0.4,0,0.947368,1,0,0,0,0.777778,0.75,0.705882,1,1,1,0,1,0.461538,1] recall 0.775641 [0,1,0,0.4,0,1,0.970588,0,0,0,0.777778,0.75,0.647059,0.857143,1,1,0,1,0.615385,1] recall 0.730769 [0,1,0,0,0,0.95,0.970588,0,0,0,0.444444,1,0.6875,0.833333,0.888889,1,0,1,0.538462,1] recall 0.737179 [0,1,0,0.4,0,0.842105,0.970588,0,0,0,0.777778,0.75,0.470588,0.857143,0.777778,1,0,1,0.692308,1] recall 0.801282 [0,1,0,1,0,1,0.970588,0,0,0,0.555556,0.75,0.705882,0.833333,1,1,0,1,0.615385,1] recall 0.782051 [0,1,0.333333,0.5,0,0.9,1,0.25,0,0,0.666667,0.75,0.588235,0.833333,0.666667,1,0,1,0.846154,1] recall 0.782051 [0,1,0,0.2,0,0.789474,0.970588,0,0,0,0.777778,0.5,0.625,1,1,1,0,1,0.923077,1] recall 0.74359 [0,1,0,0.166667,0,0.947368,1,0.25,0,0,0.555556,0.25,0.764706,0.857143,0.777778,1,0,1,0.461538,1] recall 0.762821 [0,1,0,0,0,0.947368,1,0.2,0,0,0.7,0.75,0.5,1,1,1,0,1,0.615385,1] recall 0.75641 [0,1,0,0,0,0.842105,1,0,0,0,0.444444,0.75,0.823529,1,1,0.9,0,1,0.615385,1] recall 0.730769 [0,1,0,0,0,0.894737,1,0,0,0,0.111111,0.75,0.75,0.857143,0.777778,1,0,1,0.615385,1] recall 0.737179 [0,1,0,0.2,0,0.947368,0.971429,0,0,0,0.444444,0.5,0.75,0.857143,0.777778,1,0,1,0.615385,1] recall 0.730769 [0,1,0.25,0,0,0.95,1,0,0,0,0.444444,0.75,0.5,0.833333,1,1,0,1,0.615385,1] recall 0.74359 [0,1,0.333333,0.4,0,0.894737,0.970588,0,0,0,0.666667,1,0.470588,0.857143,0.888889,1,0,1,0.538462,1] recall 0.769231 [0,1,0,0.2,0,0.95,0.970588,0.2,0,0,0.666667,0.75,0.4375,1,0.888889,1,0,1,0.769231,1] recall 0.814103 [0,1,0,0.6,0,0.95,0.970588,0.25,0,0,0.8,0.5,0.705882,1,1,1,0,1,0.769231,1] recall 0.762821 [0,1,0,0.4,0,0.842105,0.970588,0.25,0,0,0.555556,0.5,0.705882,1,1,1,0,1,0.538462,1] recall 0.75641 [0,1,0,0.166667,0,0.789474,1,0.25,0,0,0.555556,0.75,0.882353,0.857143,0.777778,1,0,1,0.461538,1] recall 0.794872 [0,1,0,0.166667,0,1,1,0.4,0,0,0.333333,0.5,0.8125,0.857143,1,1,0,1,0.769231,1] relative_absolute_error 0.558933 relative_absolute_error 0.541714 relative_absolute_error 0.545439 relative_absolute_error 0.551256 relative_absolute_error 0.549278 relative_absolute_error 0.525206 relative_absolute_error 0.54848 relative_absolute_error 0.527537 relative_absolute_error 0.52568 relative_absolute_error 0.523286 relative_absolute_error 0.547401 relative_absolute_error 0.536245 relative_absolute_error 0.574607 relative_absolute_error 0.54934 relative_absolute_error 0.557253 relative_absolute_error 0.514921 relative_absolute_error 0.536096 relative_absolute_error 0.55788 relative_absolute_error 0.545484 relative_absolute_error 0.555735 relative_absolute_error 0.545096 relative_absolute_error 0.542692 relative_absolute_error 0.524644 relative_absolute_error 0.555226 relative_absolute_error 0.552081 relative_absolute_error 0.546666 relative_absolute_error 0.550672 relative_absolute_error 0.541938 relative_absolute_error 0.551773 relative_absolute_error 0.56061 relative_absolute_error 0.550221 relative_absolute_error 0.536443 relative_absolute_error 0.547525 relative_absolute_error 0.532539 relative_absolute_error 0.52409 relative_absolute_error 0.524797 relative_absolute_error 0.556002 relative_absolute_error 0.56309 relative_absolute_error 0.55914 relative_absolute_error 0.559328 relative_absolute_error 0.538602 relative_absolute_error 0.555797 relative_absolute_error 0.538432 relative_absolute_error 0.536716 relative_absolute_error 0.540806 relative_absolute_error 0.549538 relative_absolute_error 0.559254 relative_absolute_error 0.550079 relative_absolute_error 0.526542 relative_absolute_error 0.548702 relative_absolute_error 0.541879 relative_absolute_error 0.550803 relative_absolute_error 0.557142 relative_absolute_error 0.521563 relative_absolute_error 0.535826 relative_absolute_error 0.562901 relative_absolute_error 0.568492 relative_absolute_error 0.551584 relative_absolute_error 0.557245 relative_absolute_error 0.549534 relative_absolute_error 0.537316 relative_absolute_error 0.580253 relative_absolute_error 0.534883 relative_absolute_error 0.54794 relative_absolute_error 0.54273 relative_absolute_error 0.572705 relative_absolute_error 0.572609 relative_absolute_error 0.563781 relative_absolute_error 0.575762 relative_absolute_error 0.546036 relative_absolute_error 0.57085 relative_absolute_error 0.551741 relative_absolute_error 0.521027 relative_absolute_error 0.5774 relative_absolute_error 0.555788 relative_absolute_error 0.565345 relative_absolute_error 0.569885 relative_absolute_error 0.53934 relative_absolute_error 0.564383 relative_absolute_error 0.547969 relative_absolute_error 0.559696 relative_absolute_error 0.548878 relative_absolute_error 0.563619 relative_absolute_error 0.5674 relative_absolute_error 0.579222 relative_absolute_error 0.556126 relative_absolute_error 0.554612 relative_absolute_error 0.551509 relative_absolute_error 0.549966 relative_absolute_error 0.540361 relative_absolute_error 0.558633 relative_absolute_error 0.573142 relative_absolute_error 0.572545 relative_absolute_error 0.550276 relative_absolute_error 0.557576 relative_absolute_error 0.560503 relative_absolute_error 0.541767 relative_absolute_error 0.554373 relative_absolute_error 0.542331 relative_absolute_error 0.536879 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.211835 root_mean_prior_squared_error 0.212094 root_mean_prior_squared_error 0.211863 root_mean_prior_squared_error 0.212074 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211932 root_mean_prior_squared_error 0.211873 root_mean_prior_squared_error 0.211798 root_mean_prior_squared_error 0.212038 root_mean_prior_squared_error 0.21169 root_mean_prior_squared_error 0.211915 root_mean_prior_squared_error 0.212004 root_mean_prior_squared_error 0.211587 root_mean_prior_squared_error 0.211911 root_mean_prior_squared_error 0.21191 root_mean_prior_squared_error 0.211977 root_mean_prior_squared_error 0.211855 root_mean_prior_squared_error 0.211874 root_mean_prior_squared_error 0.211905 root_mean_prior_squared_error 0.211927 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.211902 root_mean_prior_squared_error 0.211852 root_mean_prior_squared_error 0.211911 root_mean_prior_squared_error 0.211954 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.211837 root_mean_prior_squared_error 0.211874 root_mean_prior_squared_error 0.211925 root_mean_prior_squared_error 0.211891 root_mean_prior_squared_error 0.211992 root_mean_prior_squared_error 0.211902 root_mean_prior_squared_error 0.211852 root_mean_prior_squared_error 0.211829 root_mean_prior_squared_error 0.211815 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211895 root_mean_prior_squared_error 0.21185 root_mean_prior_squared_error 0.211943 root_mean_prior_squared_error 0.211926 root_mean_prior_squared_error 0.211923 root_mean_prior_squared_error 0.211988 root_mean_prior_squared_error 0.211865 root_mean_prior_squared_error 0.212113 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.2119 root_mean_prior_squared_error 0.211909 root_mean_prior_squared_error 0.211941 root_mean_prior_squared_error 0.211895 root_mean_prior_squared_error 0.211931 root_mean_prior_squared_error 0.211974 root_mean_prior_squared_error 0.211865 root_mean_prior_squared_error 0.212066 root_mean_prior_squared_error 0.211813 root_mean_prior_squared_error 0.211983 root_mean_prior_squared_error 0.211861 root_mean_prior_squared_error 0.211884 root_mean_prior_squared_error 0.212065 root_mean_prior_squared_error 0.21189 root_mean_prior_squared_error 0.211905 root_mean_prior_squared_error 0.212076 root_mean_prior_squared_error 0.212034 root_mean_prior_squared_error 0.212031 root_mean_prior_squared_error 0.211952 root_mean_prior_squared_error 0.212062 root_mean_prior_squared_error 0.212283 root_mean_prior_squared_error 0.211971 root_mean_prior_squared_error 0.212085 root_mean_prior_squared_error 0.212021 root_mean_prior_squared_error 0.211955 root_mean_prior_squared_error 0.212175 root_mean_prior_squared_error 0.211893 root_mean_prior_squared_error 0.211903 root_mean_prior_squared_error 0.211952 root_mean_prior_squared_error 0.211919 root_mean_prior_squared_error 0.212283 root_mean_prior_squared_error 0.211832 root_mean_prior_squared_error 0.212085 root_mean_prior_squared_error 0.212046 root_mean_prior_squared_error 0.212109 root_mean_prior_squared_error 0.212169 root_mean_prior_squared_error 0.212136 root_mean_prior_squared_error 0.211903 root_mean_prior_squared_error 0.211954 root_mean_prior_squared_error 0.212131 root_mean_prior_squared_error 0.212136 root_mean_prior_squared_error 0.21218 root_mean_prior_squared_error 0.21207 root_mean_prior_squared_error 0.212175 root_mean_prior_squared_error 0.211943 root_mean_prior_squared_error 0.212131 root_mean_prior_squared_error 0.212149 root_mean_prior_squared_error 0.211999 root_mean_prior_squared_error 0.21186 root_mean_prior_squared_error 0.21206 root_mean_prior_squared_error 0.211763 root_mean_prior_squared_error 0.212175 root_mean_squared_error 0.140917 root_mean_squared_error 0.139697 root_mean_squared_error 0.140265 root_mean_squared_error 0.138815 root_mean_squared_error 0.140741 root_mean_squared_error 0.134654 root_mean_squared_error 0.141507 root_mean_squared_error 0.135934 root_mean_squared_error 0.134799 root_mean_squared_error 0.136622 root_mean_squared_error 0.140181 root_mean_squared_error 0.136991 root_mean_squared_error 0.144679 root_mean_squared_error 0.138105 root_mean_squared_error 0.140936 root_mean_squared_error 0.13354 root_mean_squared_error 0.137195 root_mean_squared_error 0.14127 root_mean_squared_error 0.139092 root_mean_squared_error 0.142031 root_mean_squared_error 0.139622 root_mean_squared_error 0.137768 root_mean_squared_error 0.134899 root_mean_squared_error 0.141272 root_mean_squared_error 0.140937 root_mean_squared_error 0.139352 root_mean_squared_error 0.141135 root_mean_squared_error 0.137985 root_mean_squared_error 0.141155 root_mean_squared_error 0.143825 root_mean_squared_error 0.139439 root_mean_squared_error 0.139132 root_mean_squared_error 0.141622 root_mean_squared_error 0.136611 root_mean_squared_error 0.134586 root_mean_squared_error 0.134124 root_mean_squared_error 0.140216 root_mean_squared_error 0.144526 root_mean_squared_error 0.142289 root_mean_squared_error 0.142853 root_mean_squared_error 0.136365 root_mean_squared_error 0.141579 root_mean_squared_error 0.136817 root_mean_squared_error 0.137053 root_mean_squared_error 0.136019 root_mean_squared_error 0.141492 root_mean_squared_error 0.141724 root_mean_squared_error 0.139511 root_mean_squared_error 0.135236 root_mean_squared_error 0.140425 root_mean_squared_error 0.137771 root_mean_squared_error 0.140838 root_mean_squared_error 0.140637 root_mean_squared_error 0.135496 root_mean_squared_error 0.135486 root_mean_squared_error 0.142545 root_mean_squared_error 0.142335 root_mean_squared_error 0.139592 root_mean_squared_error 0.142995 root_mean_squared_error 0.138905 root_mean_squared_error 0.13952 root_mean_squared_error 0.145278 root_mean_squared_error 0.137413 root_mean_squared_error 0.13947 root_mean_squared_error 0.138691 root_mean_squared_error 0.145973 root_mean_squared_error 0.143606 root_mean_squared_error 0.143384 root_mean_squared_error 0.14448 root_mean_squared_error 0.139167 root_mean_squared_error 0.146296 root_mean_squared_error 0.140407 root_mean_squared_error 0.134106 root_mean_squared_error 0.14672 root_mean_squared_error 0.141835 root_mean_squared_error 0.141823 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